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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 Point estimation ： ウィキペディア英語版 Point estimation In statistics, point estimation involves the use of sample data to calculate a single value (known as a statistic) which is to serve as a "best guess" or "best estimate" of an unknown (fixed or random) population parameter. More formally, it is the application of a point estimator to the data. In general, point estimation should be contrasted with interval estimation: such interval estimates are typically either confidence intervals in the case of frequentist inference, or credible intervals in the case of Bayesian inference. ==Point estimators== *minimum-variance mean-unbiased estimator (MVUE), minimizes the risk (expected loss) of the squared-error loss-function. *best linear unbiased estimator (BLUE) *minimum mean squared error (MMSE) *median-unbiased estimator, minimizes the risk of the absolute-error loss function *maximum likelihood (ML) *method of moments, generalized method of moments 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「Point estimation」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.