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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 Nonparametric statistics ： ウィキペディア英語版 Nonparametric statistics Nonparametric statistics are statistics not based on parameterized families of probability distributions. They include both descriptive and inferential statistics. The typical parameters are the mean, variance, etc. Unlike parametric statistics, nonparametric statistics make no assumptions about the probability distributions of the variables being assessed. The difference between parametric models and non-parametric models is that the former has a fixed number of parameters, while the latter grows the number of parameters with the amount of training data. Note that the ''non''-parametric model is not ''none''-parametric: parameters are determined by the training data, not the model. ==Definitions== In statistics, the term "non-parametric statistics" has at least two different meanings: 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「Nonparametric statistics」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.