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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 List of convolutions of probability distributions ： ウィキペディア英語版 List of convolutions of probability distributions In probability theory, the probability distribution of the sum of two or more independent random variables is the convolution of their individual distributions. The term is motivated by the fact that the probability mass function or probability density function of a sum of random variables is the convolution of their corresponding probability mass functions or probability density functions respectively. Many well known distributions have simple convolutions. The following is a list of these convolutions. Each statement is of the form :$\backslash sum\_^n\; X\_i\; \backslash sim\; Y$ where $X\_1,\; X\_2,\backslash dots,\; X\_n\backslash ,$ are independent and identically distributed random variables. In place of $X\_i$ and $Y$ the names of the corresponding distributions and their parameters have been indicated. == Discrete distributions == * * * * * $\backslash sum\_^n\; \backslash mathrm(\backslash lambda\_i)\; \backslash sim\; \backslash mathrm\backslash left(\backslash sum\_^n\; \backslash lambda\_i\backslash right)\; \backslash qquad\; \backslash lambda\_i>0\; \backslash ,\backslash !$ 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「List of convolutions of probability distributions」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.