Scott's rule
id:
scott-s-rule-226-4605093
title:
Scott's rule
text:
Scott's rule is a method to select the number of bins in a histogram. Scott's rule is widely employed in data analysis software including R, Python and Microsoft Excel where it is the default bin selection method. For a set of n observations x i let f ^ be the histogram approximation of some function f. The integrated mean squared error (IMSE) is
- IMSE = E [ ∫ ∞ ∞ d x 2 ] Where E [ ⋅ ] denotes the expectation across many independent draws of n data points. By Taylor expanding to first order i
brand slug:
wiki
category slug:
encyclopedia
description:
Rule for choosing histogram bins
original url:
https://en.wikipedia.org/wiki/Scott%27s_rule
date created:
2024-04-18T12:21:01Z
date modified:
2024-09-15T04:00:39Z
main entity:
{"identifier":"Q125759070","url":"https://www.wikidata.org/entity/Q125759070"}
image:
fields total:
13
integrity:
15