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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Freedman–Diaconis rule ： ウィキペディア英語版 Freedman–Diaconis rule 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. The general equation for the rule is: :$\backslash text=2\backslash ,\; \backslash text(x)\; n^\; \backslash ;$ where $\backslash scriptstyle\backslash operatorname(x)\; \backslash ;$ is the interquartile range of the data and $\backslash scriptstyle\; n\; \backslash ;$ is the number of observations in the sample $\backslash scriptstyle\; x.\; \backslash ;$ ==Other approaches== Another approach is to use ''Sturges' rule'': use a bin so large that there are about $\backslash scriptstyle\; 1+\backslash log\_2n$ non-empty bins (Scott, 2009). This works well for ''n'' under 200, but was found to be inaccurate for large ''n''. For a discussion and an alternative approach, see Birgé and Rozenholc. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Freedman–Diaconis rule」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.