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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 mean signed difference ： ウィキペディア英語版 Mean signed deviation In statistics, the mean signed difference, deviation, or error (MSD or MSE) is a sample statistic that summarises how well an estimator $\backslash hat$ matches the quantity $\backslash theta$ that it is supposed to estimate. It is one of a number of statistics that can be used to assess an estimation procedure, and it would often be used in conjunction with a sample version of the mean square error. ==Definition== The mean signed difference is derived from a set of ''n'' pairs, $(\; \backslash hat\_i,\backslash theta\_i)$, where $\backslash hat\_i$ is an estimate of the parameter $\backslash theta$ in a case where it is known that $\backslash theta=\backslash theta\_i$. In many applications, all the quantities $\backslash theta\_i$ will share a common value. When applied to forecasting in a time series analysis context, a forecasting procedure might be evaluated using the mean signed difference, with $\backslash hat\_i$ being the predicted value of a series at a given lead time and $\backslash theta\_i$ being the value of the series eventually observed for that time-point. The mean signed difference is defined to be :$\backslash operatorname(\backslash hat)\; =\; \backslash sum^\_\; \backslash frac\}\; .$ 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「Mean signed deviation」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.