翻訳と辞書 Words near each other ・ Fisher's ghost ・ Fisher's Ghost (film) ・ Fisher's Grant 24 ・ Fisher's Grant 24G ・ Fisher's inequality ・ Fisher's Lane ・ Fisher's Lane Bridge ・ Fisher's method ・ Fisher's noncentral hypergeometric distribution ・ Fisher's Paradise ・ Fisher's Pond ・ Fisher's principle ・ Fisher's seahorse ・ Fisher's Station ・ Fisher's Tale ・ Fisher's z-distribution ・ Fisher, Arkansas ・ Fisher, Australian Capital Territory ・ Fisher, California ・ Fisher, Humboldt County, California ・ Fisher, Illinois ・ Fisher, Louisiana ・ Fisher, Minnesota ・ Fisher, Oregon ・ Fisher, Pennsylvania ・ Fisher, West Virginia ・ Fisher-Chapman Farmstead ・ Fisher-Miller Land Grant ・ Fisher-Porter tube ・ Fisher-Price Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Fisher's z-distribution ： ウィキペディア英語版 Fisher's z-distribution \frac+d_2\right)^}\! | mode = $0$ }} Fisher's z-distribution is the statistical distribution of half the logarithm of an F distribution variate: : $z\; =\; \backslash frac\; \backslash log\; F$ It was first described by Ronald Fisher in a paper delivered at the International Mathematical Congress of 1924 in Toronto, titled "On a distribution yielding the error functions of several well-known statistics" (Proceedings of the International Congress of Mathematics, Toronto, 2: 805-813 (1924). Nowadays one usually uses the F distribution instead. The probability density function and cumulative distribution function can be found by using the F-distribution at the value of $x\text{'}\; =\; e^\; \backslash ,$. However, the mean and variance do not follow the same transformation. The probability density function is : $f(x;\; d\_1,\; d\_2)\; =\; \backslash frac\}\; \backslash frac\; +\; d\_2\backslash right)^\},$ where ''B'' is the beta function. When the degrees of freedom becomes large ($d\_1,\; d\_2\; \backslash rightarrow\; \backslash infty$) the distribution approach normality with mean〔 : $\backslash bar\; =\; (1/d\_2\; -\; 1/d\_1)/2$ and variance : $\backslash sigma^2\_x\; =\; (1/d\_1\; +\; 1/d\_2)/2.$ ==Related Distribution== *If $X\; \backslash sim\; \backslash operatorname(n,m)$ then $e^\; \backslash sim\; \backslash operatorname(n,m)\; \backslash ,$ (F-distribution) *If $X\; \backslash sim\; \backslash operatorname(n,m)$ then $\backslash tfrac\; \backslash sim\; \backslash operatorname(n,m)$ 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「Fisher's z-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.