Scott's Rule
id:
scott-s-rule-0-302297
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 Where E [ ⋅ ] denotes the expectation across many independent draws of n data points. By Taylor expanding to first order in h , the bin width, Scott s
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:
2024-04-24T05:25:39Z
main entity:
image:
fields total:
13
integrity:
14