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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 Noncentral chi distribution ： ウィキペディア英語版 Noncentral chi distribution I_(\lambda x)| cdf =| mean =$\backslash sqrt\}L\_^\backslash left(\backslash frac\backslash right)\backslash ,$| median =| mode =| variance =$k+\backslash lambda^2-\backslash mu^2\backslash ,$| skewness =| kurtosis =| entropy =| mgf =| char = }} In probability theory and statistics, the noncentral chi distribution is a generalization of the chi distribution. If $X\_i$ are ''k'' independent, normally distributed random variables with means $\backslash mu\_i$ and variances $\backslash sigma\_i^2$, then the statistic :$Z\; =\; \backslash sqrt\backslash right)^2\}$ is distributed according to the noncentral chi distribution. The noncentral chi distribution has two parameters: $k$ which specifies the number of degrees of freedom (i.e. the number of $X\_i$), and $\backslash lambda$ which is related to the mean of the random variables $X\_i$ by: :$\backslash lambda=\backslash sqrt\backslash right)^2\}$ ==Properties== 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「Noncentral chi 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.