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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 Behrens–Fisher distribution ： ウィキペディア英語版 Behrens–Fisher distribution In statistics, the Behrens–Fisher distribution, named after Ronald Fisher and W. V. Behrens, is a parameterized family of probability distributions arising from the solution of the Behrens–Fisher problem proposed first by Behrens and several years later by Fisher. The Behrens–Fisher problem is that of statistical inference concerning the difference between the means of two normally distributed populations when the ratio of their variances is not known (and in particular, it is not known that their variances are equal). == Definition == The Behrens–Fisher distribution is the distribution of a random variable of the form : $T\_2\; \backslash cos\backslash theta\; -\; T\_1\backslash sin\backslash theta\; \backslash ,$ where ''T''1 and ''T''2 are independent random variables each with a Student's t-distribution, with respective degrees of freedom ''ν''1 = ''n''1 − 1 and ''ν''2 = ''n''2 − 1, and ''θ'' is a constant. Thus the family of Behrens–Fisher distributions is parametrized by ''ν''1, ''ν''2, and ''θ''. 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「Behrens–Fisher distribution」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.