Particle in a spherically symmetric potential: Difference between revisions

From formulasearchengine
Jump to navigation Jump to search
en>ZéroBot
 
en>Riscola54
Rewrote introduction.
Line 1: Line 1:
I would like to introduce myself to you, I am Andrew and my wife doesn't like it at all. Office supervising is my occupation. For a whilst I've been in Alaska but I will have to move in a year or two. To perform lacross is some thing he would never give up.<br><br>Here is my homepage - telephone psychic ([http://www.hoohoostreet.com/users/ACurtain see post])
{{Cleanup|date=May 2009}}
 
In [[statistics]], an '''interaction'''<ref name=Dodge>{{cite book | last=Dodge | first=Y. | year=2003 | title=''The Oxford Dictionary of Statistical Terms'' | publisher=Oxford University Press | isbn=0-19-920613-9}}</ref><ref>{{cite journal | doi=10.2307/1403235 | last=Cox | first=D.R. | year=1984 | title=Interaction | journal=International Statistical Review | volume=52 | pages=1&ndash;25 | jstor=1403235 | issue=1 | publisher=International Statistical Review / Revue Internationale de Statistique}}</ref> may arise when considering the relationship among three or more variables, and describes a situation in which the simultaneous influence of two variables on a third is not [[additive function|additive]].  Most commonly, interactions are considered in the context of [[regression analysis|regression analyses]].
 
The presence of interactions can have important implications for the interpretation of statistical models.  If two variables of interest interact, the relationship between each of the interacting variables and a third "dependent variable" depends on the value of the other interacting variable.  In practice, this makes it more difficult to predict the consequences of changing the value of a variable, particularly if the variables it interacts with are hard to measure or difficult to control.
 
The notion of "interaction" is closely related to that of "[[Moderation (statistics)|moderation]]" that is common in social and health science research: the interaction between an explanatory variable and an environmental variable suggests that the effect of the explanatory variable has been moderated or modified by the environmental variable.<ref name=Dodge />
 
==Introduction==
 
An "interaction variable" is a variable constructed from an original set of variables to try to represent either all of the interaction present or some part of it. In exploratory statistical analyses it is common to use products of original variables as the basis of testing whether interaction is present with the possibility of substituting other more realistic interaction variables at a later stage. When there are more than two explanatory variables, several interaction variables are constructed, with pairwise-products representing pairwise-interactions and higher order products representing higher order interactions.
 
[[Image:Quantitative interaction.svg|right|thumb|250px|The binary factor ''A'' and the quantitative variable ''X'' interact (are non-additive) when analyzed with respect to the outcome variable ''Y''.]]
 
Thus, for a response ''Y'' and two variables ''x''<sub>1</sub> and ''x''<sub>2</sub> an ''additive'' model would be:
 
:<math>Y = c + ax_1 + bx_2 + \text{error}\,</math>
 
In contrast to this,
 
:<math>Y = c + ax_1 + bx_2 + d(x_1\times x_2) + \text{error} \,</math>
 
is an example of a model with an ''interaction'' between variables ''x''<sub>1</sub> and ''x''<sub>2</sub> ("error" refers to the [[random variable]] whose value is that by which ''Y'' differs from the [[expected value]] of ''Y''; see [[errors and residuals in statistics]]).
 
==Interaction variables in modeling==
 
===Interactions in ANOVA===
 
A simple setting in which interactions can arise is a [[factorial experiment|two-factor experiment]] analyzed using [[Analysis of Variance]] (ANOVA).  Suppose we have two binary factors ''A'' and ''B''.  For example, these factors might indicate whether either of two treatments were administered to a patient, with the treatments applied either singly, or in combination.  We can then consider the average treatment response (e.g. the symptom levels following treatment) for each patient, as a function of the treatment combination that was administered.  The following table shows one possible situation:
 
{| cellpadding="5" cellspacing="0" align="center"
|-
!
! style="background:#ffdead;border-left:1px solid black;border-top:1px solid black;" | ''B''&nbsp;=&nbsp;0
! style="background:#ffdead;border-top:1px solid black;border-right:1px solid black;" | ''B''&nbsp;=&nbsp;1
|-
! style="background:#ffdead;border-left:1px solid black;border-top:1px solid black;" | ''A''&nbsp;=&nbsp;0
! style="border-left:1px solid black;" | 6
! style="border-right:1px solid black;" | 7
|-
! style="background:#ffdead;border-bottom:1px solid black;border-left:1px solid black;" | ''A''&nbsp;=&nbsp;1
! style="border-bottom:1px solid black;border-left:1px solid black;" | 4
! style="border-bottom:1px solid black;border-right:1px solid black;" | 5
|}
 
In this example, there is no interaction between the two treatments &mdash; their effects are additive.  The reason for this is that the difference in mean response between those subjects receiving treatment ''A'' and those not receiving treatment ''A'' is &minus;2 regardless of whether treatment ''B'' is administered (&minus;2&nbsp;=&nbsp;4&nbsp;&minus;&nbsp;6) or not (&minus;2&nbsp;=&nbsp;5&nbsp;&minus;&nbsp;7). Note that it automatically follows that the difference in mean response between those subjects receiving treatment ''B'' and those not receiving treatment ''B'' is the same regardless of whether treatment ''A'' is administered (7&nbsp;&minus;&nbsp;6&nbsp;=&nbsp;5&nbsp;&minus;&nbsp;4).
 
In contrast, if the following average responses are observed
 
{| cellpadding="5" cellspacing="0" align="center"
|-
!
! style="background:#ffdead;border-left:1px solid black;border-top:1px solid black;" | ''B''&nbsp;=&nbsp;0
! style="background:#ffdead;border-top:1px solid black;border-right:1px solid black;" | ''B''&nbsp;=&nbsp;1
|-
! style="background:#ffdead;border-left:1px solid black;border-top:1px solid black;" | ''A''&nbsp;=&nbsp;0
! style="border-left:1px solid black;" | 1
! style="border-right:1px solid black;" | 4
|-
! style="background:#ffdead;border-bottom:1px solid black;border-left:1px solid black;" | ''A''&nbsp;=&nbsp;1
! style="border-bottom:1px solid black;border-left:1px solid black;" | 7
! style="border-bottom:1px solid black;border-right:1px solid black;" | 6
|}
 
then there is an interaction between the treatments &mdash; their effects are not additive.  Supposing that greater numbers correspond to a better response, in this situation treatment ''B'' is helpful on average if the subject is not also receiving treatment ''A'', but is more helpful on average if given in combination with treatment ''A''. Treatment ''A'' is helpful on average regardless of whether treatment ''B'' is also administered, but it is more helpful in both absolute and relative terms if given alone, rather than in combination with treatment ''B''.
 
===Qualitative and quantitative interactions===
In many applications it is useful to distinguish between qualitative and quantitative interactions.<ref>{{cite book | last=Peto | first=DP | year=1982 | title=Statistical aspects of cancer trials (first ed.) | publisher=Chapman and Hall, London}}</ref>  A quantitative interaction between ''A'' and ''B'' refers to a situation where the magnitude of the effect of ''B'' depends on the value of ''A'', but the direction of the effect of ''B'' is constant for all ''A''.  A qualitative interaction between ''A'' and ''B'' refers to a situation where both the magnitude and direction of each variable's effect can depend on the value of the other variable.
 
The table of means on the left, below, shows a quantitative interaction &mdash; treatment ''A'' is beneficial both when ''B'' is given, and when ''B'' is not given, but the benefit is greater when ''B'' is not given (i.e. when ''A'' is given alone). The table of means on the right shows a qualitative interaction.  ''A'' is harmful when ''B'' is given, but it is beneficial when ''B'' is not given.  Note that the same interpretation would hold if we consider the benefit of ''B'' based on whether ''A'' is given.
 
{| cellpadding="5" cellspacing="0" align="center"
|-
!
! style="background:#ffdead;border-left:1px solid black;border-top:1px solid black;" | ''B''&nbsp;=&nbsp;0
! style="background:#ffdead;border-top:1px solid black;border-right:1px solid black;" | ''B''&nbsp;=&nbsp;1
!
!
!
!
!
!
! style="background:#ffdead;border-left:1px solid black;border-top:1px solid black;" | ''B''&nbsp;=&nbsp;0
! style="background:#ffdead;border-top:1px solid black;border-right:1px solid black;" | ''B''&nbsp;=&nbsp;1
|-
! style="background:#ffdead;border-left:1px solid black;border-top:1px solid black;" | ''A''&nbsp;=&nbsp;0
! style="border-left:1px solid black;" | 2
! style="border-right:1px solid black;" | 1
!
!
!
!
!
! style="background:#ffdead;border-left:1px solid black;border-top:1px solid black;" | ''A''&nbsp;=&nbsp;0
! style="border-left:1px solid black;" | 2
! style="border-right:1px solid black;" | 6
|-
! style="background:#ffdead;border-bottom:1px solid black;border-left:1px solid black;" | ''A''&nbsp;=&nbsp;1
! style="border-bottom:1px solid black;border-left:1px solid black;" | 5
! style="border-bottom:1px solid black;border-right:1px solid black;" | 3
!
!
!
!
!
! style="background:#ffdead;border-left:1px solid black;border-bottom:1px solid black;" | ''A''&nbsp;=&nbsp;1
! style="border-left:1px solid black;border-bottom:1px solid black;" | 5
! style="border-right:1px solid black;border-bottom:1px solid black;" | 3
|}
 
The distinction between qualitative and quantitative interactions depends on the order in which the variables are considered (in contrast, the property of additivity is invariant to the order of the variables). In the following table, if we focus on the effect of treatment ''A'', there is a quantitative interaction &mdash; giving treatment ''A'' will improve the outcome on average regardless of whether treatment ''B'' is or is not already being given (although the benefit is greater if treatment ''A'' is given alone). However if we focus on the effect of treatment ''B'', there is a qualitative interaction &mdash; giving treatment ''B'' to a subject who is already receiving treatment ''A'' will (on average) make things worse, whereas giving treatment ''B'' to a subject who is not receiving treatment ''A'' will improve the outcome on average.
 
{| cellpadding="5" cellspacing="0" align="center"
|-
!
! style="background:#ffdead;border-left:1px solid black;border-top:1px solid black;" | ''B''&nbsp;=&nbsp;0
! style="background:#ffdead;border-top:1px solid black;border-right:1px solid black;" | ''B''&nbsp;=&nbsp;1
|-
! style="background:#ffdead;border-left:1px solid black;border-top:1px solid black;" | ''A''&nbsp;=&nbsp;0
! style="border-left:1px solid black;" | 1
! style="border-right:1px solid black;" | 4
|-
! style="background:#ffdead;border-bottom:1px solid black;border-left:1px solid black;" | ''A''&nbsp;=&nbsp;1
! style="border-bottom:1px solid black;border-left:1px solid black;" | 7
! style="border-bottom:1px solid black;border-right:1px solid black;" | 6
|}
 
===Unit treatment additivity===
 
In its simplest form, the assumption of treatment unit additivity states that the observed response ''y''<sub>''ij''</sub> from experimental unit ''i'' when receiving treatment ''j'' can be written as the sum ''y''<sub>''ij''</sub>&nbsp;=&nbsp;''y''<sub>''i''</sub>&nbsp;+&nbsp;''t''<sub>''j''</sub>.<ref>Kempthorne (1979)</ref><ref name=Cox1958_2>Cox (1958), Chapter 2</ref><ref>Hinkelmann & Kempthorne (2008), Chapters 5-6</ref> The assumption of unit treatment additivity implies that every treatment has exactly the same additive effect on each experimental unit. Since any given experimental unit can only undergo one of the treatments, the assumption of unit treatment additivity is a hypothesis that is not directly falsifiable, according to Cox{{Citation needed|date=April 2010}} and Kempthorne.{{Citation needed|date=April 2010}}
 
However, many consequences of treatment-unit additivity can be falsified.{{Citation needed|date=April 2010}} For a randomized experiment, the assumption of treatment additivity implies that the variance is constant for all treatments. Therefore, by contraposition, a necessary condition for unit treatment additivity is that the variance is constant.{{Citation needed|date=April 2010}}
 
The property of unit treatment additivity is not invariant under a change of scale,{{Citation needed|date=April 2010}} so statisticians often use transformations to achieve unit treatment additivity. If the response variable is expected to follow a parametric family of probability distributions, then the statistician may specify (in the protocol for the experiment or observational study) that the responses be transformed to stabilize the variance.<ref>Hinkelmann and Kempthorne (2008), Chapters 7-8</ref> In many cases, a statistician may specify that logarithmic transforms be applied to the responses, which are believed to follow a multiplicative model.<ref name=Cox1958_2/><ref>Bailey on eelworms.</ref>
 
The assumption of unit treatment additivity was enunciated in experimental design by Kempthorne{{Citation needed|date=April 2010}} and Cox{{Citation needed|date=April 2010}}. Kempthorne's use of unit treatment additivity and randomization is similar to the design-based analysis of finite population survey sampling.
 
In recent years, it has become common{{Citation needed|date=April 2010}} to use the terminology of Donald Rubin, which uses counterfactuals. Suppose we are comparing two groups of people with respect to some attribute ''y''.  For example, the first group might consist of people who are given a standard treatment for a medical condition, with the second group consisting of people who receive a new treatment with unknown effect.  Taking a "counterfactual" perspective, we can consider an individual whose attribute has value ''y'' if that individual belongs to the first group, and whose attribute has value ''τ''(''y'') if the individual belongs to the second group.  The assumption of "unit treatment additivity" is that ''τ''(''y'')&nbsp;=&nbsp;''τ'', that is, the "treatment effect" does not depend on ''y''.  Since we cannot observe both ''y'' and τ(''y'') for a given individual, this is not testable at the individual level.  However, unit treatment additivity imples that the [[cumulative distribution function]]s ''F''<sub>1</sub> and ''F''<sub>2</sub> for the two groups satisfy
''F''<sub>2</sub>(''y'') &nbsp;=&nbsp;''F''<sub>1</sub>(''y&nbsp;&minus;&nbsp;τ''), as long as the assignment of individuals to groups 1 and 2 is independent of all other factors influencing ''y'' (i.e. there are no [[confounding variable|confounders]]).  Lack of unit treatment additivity can be viewed as a form of interaction between the treatment assignment (e.g. to groups 1 or 2), and the baseline, or untreated value of ''y''.
 
===Categorical variables===
Sometimes the interacting variables are categorical variables rather than real numbers and the study might then be dealt with as an [[analysis of variance]] problem.  For example, members of a population may be classified by religion and by occupation.  If one wishes to predict a person's height based only on the person's religion and occupation, a simple ''additive'' model, i.e., a model without interaction, would add to an overall average height an adjustment for a particular religion and another for a particular occupation.  A model with interaction, unlike an additive model, could add a further adjustment for the "interaction" between that religion and that occupation.  This example may cause one to suspect that the word ''interaction'' is something of a misnomer.
 
Statistically, the presence of an interaction between categorical variables is generally tested using a form of [[analysis of variance]] (ANOVA). If one or more of the variables is continuous in nature, however, it would typically be tested using moderated multiple regression.<ref name=Overton2001>{{Cite journal
| author = Overton, R. C.
| year = 2001
| title = Moderated multiple regression for interactions involving categorical variables: a statistical control for heterogeneous variance across two groups
| journal = Psychol Methods
| volume = 6
| issue = 3
| pages = 218–33
| doi = 10.1037/1082-989X.6.3.218
| pmid = 11570229
| postscript = <!--None-->
}}</ref> This is so-called because a moderator is a variable that affects the strength of a relationship between two other variables.
 
===Designed experiments===
[Genichi Taguchi]] contended{{Citation needed|date=April 2010}} that interactions could be eliminated from a [[system]] by appropriate choice of response variable and transformation. However [[George Box]] and others have argued that this is not the case in general.<ref>{{Cite journal
| author = [[George E. P. Box]]
| year = 1990
| title = Do interactions matter?
| journal = Quality Engineering
| volume = 2
| pages = 365–369
| url = http://cqpi.engr.wisc.edu/system/files/r046.pdf
| postscript = <!--None-->
}}</ref>
 
===Model size===
Given ''n'' predictors, the number of terms in a linear model that includes a constant, every predictor, and every possible interaction is <math>\tbinom{n}{0} + \tbinom{n}{1} + \tbinom{n}{2} + \cdots + \tbinom{n}{n} = 2^n</math>. Since this quantity grows exponentially, it readily becomes impractically large. One method to limit the size of the model is to limit the order of interactions. For example, if only two-way interactions are allowed, the number of terms becomes <math>\tbinom{n}{0} + \tbinom{n}{1} + \tbinom{n}{2} = 1 + \tfrac{1}{2}n + \tfrac{1}{2}n^2</math>. The below table shows the number of terms for each number of predictors and maximum order of interaction.
 
{| class="wikitable" style="text-align: right;"
|+ Number of terms
! rowspan="2" | Predictors
! colspan="5" | Including up to ''m''-way interactions
|-
! 2 !! 3 !! 4 !! 5 !! ∞
|-
! scope="row" | 1
| 2 || 2 || 2 || 2 || 2
|-
! scope="row" | 2
| 4 || 4 || 4 || 4 || 4
|-
! scope="row" | 3
| 7 || 8 || 8 || 8 || 8
|-
! scope="row" | 4
| 11 || 15 || 16 || 16 || 16
|-
! scope="row" | 5
| 16 || 26 || 31 || 32 || 32
|-
! scope="row" | 6
| 22 || 42 || 57 || 63 || 64
|-
! scope="row" | 7
| 29 || 64 || 99 || 120 || 128
|-
! scope="row" | 8
| 37 || 93 || 163 || 219 || 256
|-
! scope="row" | 9
| 46 || 130 || 256 || 382 || 512
|-
! scope="row" | 10
| 56 || 176 || 386 || 638 || 1,024
|-
! scope="row" | 11
| 67 || 232 || 562 || 1,024 || 2,048
|-
! scope="row" | 12
| 79 || 299 || 794 || 1,586 || 4,096
|-
! scope="row" | 13
| 92 || 378 || 1,093 || 2,380 || 8,192
|-
! scope="row" | 14
| 106 || 470 || 1,471 || 3,473 || 16,384
|-
! scope="row" | 15
| 121 || 576 || 1,941 || 4,944 || 32,768
|-
! scope="row" | 20
| 211 || 1,351 || 6,196 || 21,700 || 1,048,576
|-
! scope="row" | 25
| 326 || 2,626 || 15,276 || 68,406 || 33,554,432
|-
! scope="row" | 50
| 1,276 || 20,876 || 251,176 || 2,369,936 || 10<sup>15</sup>
|-
! scope="row" | 100
| 5,051 || 166,751 || 4,087,976 || 79,375,496 || 10<sup>30</sup>
|-
! scope="row" | 1,000
| 500,501 || 166,667,501 || 10<sup>10</sup> || 10<sup>12</sup> || 10<sup>300</sup>
|}
 
==Examples==
Real-world examples of interaction include:
*''Interaction'' between adding sugar to coffee and stirring the coffee. Neither of the two individual variables has much effect on sweetness but a combination of the two does.
*''Interaction'' between adding [[carbon]] to [[steel]] and [[quenching]]. Neither of the two individually has much effect on [[tensile strength|strength]] but a combination of the two has a dramatic effect.
*''Interaction'' between smoking and inhaling [[asbestos]] fibres: Both raise lung carcinoma risk, but exposure to asbestos ''multiplies'' the cancer risk in smokers and non-smokers. Here, the ''joint effect'' of inhaling asbestos and smoking is higher than the sum of both effects.<ref>{{Cite journal
| author = Lee, P. N.
| year = 2001
| title = Relation between exposure to asbestos and smoking jointly and the risk of lung cancer
| journal = Occupational and Environmental Medicine
| volume = 58
| issue = 3
| pages = 145–53
| doi = 10.1136/oem.58.3.145
| pmid = 11171926
| pmc = 1740104
| postscript = <!--None-->
}}</ref>
*''Interaction'' between genetic risk factors for [[Diabetes mellitus type 2|type 2 diabetes]] and diet (specifically, a "western" dietary pattern). The western dietary pattern was shown to increase diabetes risk for subjects with a high "genetic risk score", but not for other subjects.<ref>{{Cite journal | author = Lu, Q. | year = 2009 | title = Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men | journal = Am J Clin Nutr | volume = 89 | pages = 1453&ndash;1458 | doi = 10.3945/ajcn.2008.27249 | display-authors = 1 | issue = 5 | author2 = <Please add first missing authors to populate metadata.>}}</ref>
 
== See also ==
* [[Analysis of variance]]
* [[Factorial experiment]]
* [[Generalized randomized block design]]
* [[Linear model]]
* [[Main effect]]
* [[Interaction]]
* [[Tukey's test of additivity]]
 
==Notes==
{{Reflist}}
 
==References==
* {{cite book |author=Bailey, R. A.|title=Design of Comparative Experiments|url=http://www.maths.qmul.ac.uk/~rab/DOEbook/|publisher=[http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=9780521683579 Cambridge University Press]|year=2008 |isbn=978-0-521-68357-9}} Pre-publication chapters are available on-line.
*[[David R. Cox|Cox, David R.]] (1958) ''Planning of experiments'' ISBN 0-471-57429-5
*[[David R. Cox|Cox, David R.]] and Reid, Nancy M. (2000) ''The theory of design of experiments'', Chapman & Hall/CRC. ISBN 1-58488-195-X
*{{cite book
|author=Hinkelmann, Klaus and [[Oscar Kempthorne|Kempthorne, Oscar]]
|year=2008
|title=Design and Analysis of Experiments, Volume I: Introduction to Experimental Design
|edition=Second
|publisher=Wiley
|isbn=978-0-471-72756-9
}}
*{{cite book
|author=[[Oscar Kempthorne|Kempthorne, Oscar]]
|year=1979
|title=The Design and Analysis of Experiments
|edition=Corrected reprint of (1952) Wiley
|publisher=Robert E. Krieger
|isbn=0-88275-105-0
}}
 
==Further reading==
*{{Cite journal | doi = 10.1086/226678 | last1 = Southwood | first1 = K.E. | year = 1978 | title = Substantive Theory and Statistical Interaction: Five Models | url = | journal = [[The American Journal of Sociology]] | volume = 83 | issue = 5| pages = 1154–1203 }}
*{{Cite journal | doi = 10.3758/BRM.41.3.924 | last1 = Hayes | first1 = A. F. | last2 = Matthes | first2 = J. | year = 2009 | title = Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations | url = | journal = Behavior Research Methods | volume = 41 | issue = 3| pages = 924–936 | pmid = 19587209 }}
*{{Cite journal | doi = 10.1007/s00181-012-0604-2 | last1 = Balli| first1 = H. O. | last2 = Sørensen| first2 = B. E. | year = 2012 | title = Interaction effects in econometrics | url = | journal = Empirical Economics | volume = 43 | issue = x | pages = 1–21 }}
 
==External links==
*{{PDF|[http://pages.towson.edu/mchamber/chapter7eco306.pdf Using Indicator and Interaction Variables]|158&nbsp;[[Kibibyte|KiB]]<!-- application/pdf, 162090 bytes -->}}
*[http://davis.foulger.info/papers/statisticalInteraction1979.htm Credibility and the Statistical Interaction Variable: Speaking Up for Multiplication as a Source of Understanding]
*[http://www.ruf.rice.edu/~branton/interaction/faqfund.htm Fundamentals of Statistical Interactions: What is the difference between "main effects" and "interaction effects"? ]
 
{{Statistics}}
{{Experimental design}}
 
{{DEFAULTSORT:Interaction (Statistics)}}
[[Category:Analysis of variance]]
[[Category:Regression analysis]]
[[Category:Design of experiments]]

Revision as of 02:35, 5 September 2013

Template:Cleanup

In statistics, an interaction[1][2] may arise when considering the relationship among three or more variables, and describes a situation in which the simultaneous influence of two variables on a third is not additive. Most commonly, interactions are considered in the context of regression analyses.

The presence of interactions can have important implications for the interpretation of statistical models. If two variables of interest interact, the relationship between each of the interacting variables and a third "dependent variable" depends on the value of the other interacting variable. In practice, this makes it more difficult to predict the consequences of changing the value of a variable, particularly if the variables it interacts with are hard to measure or difficult to control.

The notion of "interaction" is closely related to that of "moderation" that is common in social and health science research: the interaction between an explanatory variable and an environmental variable suggests that the effect of the explanatory variable has been moderated or modified by the environmental variable.[1]

Introduction

An "interaction variable" is a variable constructed from an original set of variables to try to represent either all of the interaction present or some part of it. In exploratory statistical analyses it is common to use products of original variables as the basis of testing whether interaction is present with the possibility of substituting other more realistic interaction variables at a later stage. When there are more than two explanatory variables, several interaction variables are constructed, with pairwise-products representing pairwise-interactions and higher order products representing higher order interactions.

The binary factor A and the quantitative variable X interact (are non-additive) when analyzed with respect to the outcome variable Y.

Thus, for a response Y and two variables x1 and x2 an additive model would be:

In contrast to this,

is an example of a model with an interaction between variables x1 and x2 ("error" refers to the random variable whose value is that by which Y differs from the expected value of Y; see errors and residuals in statistics).

Interaction variables in modeling

Interactions in ANOVA

A simple setting in which interactions can arise is a two-factor experiment analyzed using Analysis of Variance (ANOVA). Suppose we have two binary factors A and B. For example, these factors might indicate whether either of two treatments were administered to a patient, with the treatments applied either singly, or in combination. We can then consider the average treatment response (e.g. the symptom levels following treatment) for each patient, as a function of the treatment combination that was administered. The following table shows one possible situation:

B = 0 B = 1
A = 0 6 7
A = 1 4 5

In this example, there is no interaction between the two treatments — their effects are additive. The reason for this is that the difference in mean response between those subjects receiving treatment A and those not receiving treatment A is −2 regardless of whether treatment B is administered (−2 = 4 − 6) or not (−2 = 5 − 7). Note that it automatically follows that the difference in mean response between those subjects receiving treatment B and those not receiving treatment B is the same regardless of whether treatment A is administered (7 − 6 = 5 − 4).

In contrast, if the following average responses are observed

B = 0 B = 1
A = 0 1 4
A = 1 7 6

then there is an interaction between the treatments — their effects are not additive. Supposing that greater numbers correspond to a better response, in this situation treatment B is helpful on average if the subject is not also receiving treatment A, but is more helpful on average if given in combination with treatment A. Treatment A is helpful on average regardless of whether treatment B is also administered, but it is more helpful in both absolute and relative terms if given alone, rather than in combination with treatment B.

Qualitative and quantitative interactions

In many applications it is useful to distinguish between qualitative and quantitative interactions.[3] A quantitative interaction between A and B refers to a situation where the magnitude of the effect of B depends on the value of A, but the direction of the effect of B is constant for all A. A qualitative interaction between A and B refers to a situation where both the magnitude and direction of each variable's effect can depend on the value of the other variable.

The table of means on the left, below, shows a quantitative interaction — treatment A is beneficial both when B is given, and when B is not given, but the benefit is greater when B is not given (i.e. when A is given alone). The table of means on the right shows a qualitative interaction. A is harmful when B is given, but it is beneficial when B is not given. Note that the same interpretation would hold if we consider the benefit of B based on whether A is given.

B = 0 B = 1 B = 0 B = 1
A = 0 2 1 A = 0 2 6
A = 1 5 3 A = 1 5 3

The distinction between qualitative and quantitative interactions depends on the order in which the variables are considered (in contrast, the property of additivity is invariant to the order of the variables). In the following table, if we focus on the effect of treatment A, there is a quantitative interaction — giving treatment A will improve the outcome on average regardless of whether treatment B is or is not already being given (although the benefit is greater if treatment A is given alone). However if we focus on the effect of treatment B, there is a qualitative interaction — giving treatment B to a subject who is already receiving treatment A will (on average) make things worse, whereas giving treatment B to a subject who is not receiving treatment A will improve the outcome on average.

B = 0 B = 1
A = 0 1 4
A = 1 7 6

Unit treatment additivity

In its simplest form, the assumption of treatment unit additivity states that the observed response yij from experimental unit i when receiving treatment j can be written as the sum yij = yi + tj.[4][5][6] The assumption of unit treatment additivity implies that every treatment has exactly the same additive effect on each experimental unit. Since any given experimental unit can only undergo one of the treatments, the assumption of unit treatment additivity is a hypothesis that is not directly falsifiable, according to CoxPotter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park. and Kempthorne.Potter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park.

However, many consequences of treatment-unit additivity can be falsified.Potter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park. For a randomized experiment, the assumption of treatment additivity implies that the variance is constant for all treatments. Therefore, by contraposition, a necessary condition for unit treatment additivity is that the variance is constant.Potter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park.

The property of unit treatment additivity is not invariant under a change of scale,Potter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park. so statisticians often use transformations to achieve unit treatment additivity. If the response variable is expected to follow a parametric family of probability distributions, then the statistician may specify (in the protocol for the experiment or observational study) that the responses be transformed to stabilize the variance.[7] In many cases, a statistician may specify that logarithmic transforms be applied to the responses, which are believed to follow a multiplicative model.[5][8]

The assumption of unit treatment additivity was enunciated in experimental design by KempthornePotter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park. and CoxPotter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park.. Kempthorne's use of unit treatment additivity and randomization is similar to the design-based analysis of finite population survey sampling.

In recent years, it has become commonPotter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park. to use the terminology of Donald Rubin, which uses counterfactuals. Suppose we are comparing two groups of people with respect to some attribute y. For example, the first group might consist of people who are given a standard treatment for a medical condition, with the second group consisting of people who receive a new treatment with unknown effect. Taking a "counterfactual" perspective, we can consider an individual whose attribute has value y if that individual belongs to the first group, and whose attribute has value τ(y) if the individual belongs to the second group. The assumption of "unit treatment additivity" is that τ(y) = τ, that is, the "treatment effect" does not depend on y. Since we cannot observe both y and τ(y) for a given individual, this is not testable at the individual level. However, unit treatment additivity imples that the cumulative distribution functions F1 and F2 for the two groups satisfy F2(y)  = F1(y − τ), as long as the assignment of individuals to groups 1 and 2 is independent of all other factors influencing y (i.e. there are no confounders). Lack of unit treatment additivity can be viewed as a form of interaction between the treatment assignment (e.g. to groups 1 or 2), and the baseline, or untreated value of y.

Categorical variables

Sometimes the interacting variables are categorical variables rather than real numbers and the study might then be dealt with as an analysis of variance problem. For example, members of a population may be classified by religion and by occupation. If one wishes to predict a person's height based only on the person's religion and occupation, a simple additive model, i.e., a model without interaction, would add to an overall average height an adjustment for a particular religion and another for a particular occupation. A model with interaction, unlike an additive model, could add a further adjustment for the "interaction" between that religion and that occupation. This example may cause one to suspect that the word interaction is something of a misnomer.

Statistically, the presence of an interaction between categorical variables is generally tested using a form of analysis of variance (ANOVA). If one or more of the variables is continuous in nature, however, it would typically be tested using moderated multiple regression.[9] This is so-called because a moderator is a variable that affects the strength of a relationship between two other variables.

Designed experiments

[Genichi Taguchi]] contendedPotter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park. that interactions could be eliminated from a system by appropriate choice of response variable and transformation. However George Box and others have argued that this is not the case in general.[10]

Model size

Given n predictors, the number of terms in a linear model that includes a constant, every predictor, and every possible interaction is . Since this quantity grows exponentially, it readily becomes impractically large. One method to limit the size of the model is to limit the order of interactions. For example, if only two-way interactions are allowed, the number of terms becomes . The below table shows the number of terms for each number of predictors and maximum order of interaction.

Number of terms
Predictors Including up to m-way interactions
2 3 4 5
1 2 2 2 2 2
2 4 4 4 4 4
3 7 8 8 8 8
4 11 15 16 16 16
5 16 26 31 32 32
6 22 42 57 63 64
7 29 64 99 120 128
8 37 93 163 219 256
9 46 130 256 382 512
10 56 176 386 638 1,024
11 67 232 562 1,024 2,048
12 79 299 794 1,586 4,096
13 92 378 1,093 2,380 8,192
14 106 470 1,471 3,473 16,384
15 121 576 1,941 4,944 32,768
20 211 1,351 6,196 21,700 1,048,576
25 326 2,626 15,276 68,406 33,554,432
50 1,276 20,876 251,176 2,369,936 1015
100 5,051 166,751 4,087,976 79,375,496 1030
1,000 500,501 166,667,501 1010 1012 10300

Examples

Real-world examples of interaction include:

  • Interaction between adding sugar to coffee and stirring the coffee. Neither of the two individual variables has much effect on sweetness but a combination of the two does.
  • Interaction between adding carbon to steel and quenching. Neither of the two individually has much effect on strength but a combination of the two has a dramatic effect.
  • Interaction between smoking and inhaling asbestos fibres: Both raise lung carcinoma risk, but exposure to asbestos multiplies the cancer risk in smokers and non-smokers. Here, the joint effect of inhaling asbestos and smoking is higher than the sum of both effects.[11]
  • Interaction between genetic risk factors for type 2 diabetes and diet (specifically, a "western" dietary pattern). The western dietary pattern was shown to increase diabetes risk for subjects with a high "genetic risk score", but not for other subjects.[12]

See also

Notes

43 year old Petroleum Engineer Harry from Deep River, usually spends time with hobbies and interests like renting movies, property developers in singapore new condominium and vehicle racing. Constantly enjoys going to destinations like Camino Real de Tierra Adentro.

References

  • 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

    My blog: http://www.primaboinca.com/view_profile.php?userid=5889534 Pre-publication chapters are available on-line.
  • Cox, David R. (1958) Planning of experiments ISBN 0-471-57429-5
  • Cox, David R. and Reid, Nancy M. (2000) The theory of design of experiments, Chapman & Hall/CRC. ISBN 1-58488-195-X
  • 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

    My blog: http://www.primaboinca.com/view_profile.php?userid=5889534
  • 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

    My blog: http://www.primaboinca.com/view_profile.php?userid=5889534

Further reading

  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang

External links

Template:Statistics Template:Experimental design

  1. 1.0 1.1 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

    My blog: http://www.primaboinca.com/view_profile.php?userid=5889534
  2. One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  3. 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

    My blog: http://www.primaboinca.com/view_profile.php?userid=5889534
  4. Kempthorne (1979)
  5. 5.0 5.1 Cox (1958), Chapter 2
  6. Hinkelmann & Kempthorne (2008), Chapters 5-6
  7. Hinkelmann and Kempthorne (2008), Chapters 7-8
  8. Bailey on eelworms.
  9. One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  10. One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  11. One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  12. One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang