Freedman–Diaconis rule

From formulasearchengine
Jump to navigation Jump to search

In statistics, the Freedman–Diaconis rule, named after David A. Freedman and Persi Diaconis, can be used to select the size of the bins to be used in a histogram.[1] The general equation for the rule is:

where is the interquartile range of the data and is the number of observations in the sample

Other approaches

Another approach is to use Sturges' rule: use a bin so large that there are about non-empty bins (Scott, 2009).[2] This works well for n under 200, but was found to be inaccurate for large n.Template:Cn For a discussion and an alternative approach, see Birgé and Rozenholc.[3]

References

  1. {{#invoke:Citation/CS1|citation |CitationClass=journal }}
  2. {{#invoke:Citation/CS1|citation |CitationClass=journal }}
  3. {{#invoke:Citation/CS1|citation |CitationClass=journal }}

Template:Asbox