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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 Type III error ： ウィキペディア英語版 Type III error In statistical hypothesis testing, there are various notions of so-called type III errors (or errors of the third kind), and sometimes type IV errors or higher, by analogy with the type I and type II errors of Jerzy Neyman and Egon Pearson. Fundamentally, Type III errors occur when researchers provide the right answer to the wrong question. Since the paired notions of type I errors (or "false positives") and type II errors (or "false negatives") that were introduced by Neyman and Pearson are now widely used, their choice of terminology ("errors of the first kind" and "errors of the second kind"), has led others to suppose that certain sorts of mistakes that they have identified might be an "error of the third kind", "fourth kind", etc. None of these proposed categories has been widely accepted. The following is a brief account of some of these proposals. == Systems theory == In systems theory an additional type III error is often defined: type III (δ): asking the wrong question and using the wrong null hypothesis. 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「Type III error」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.