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Mean signed deviation : 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 matches the quantity 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, , where is an estimate of the parameter in a case where it is known that . In many applications, all the quantities 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 being the predicted value of a series at a given lead time and being the value of the series eventually observed for that time-point. The mean signed difference is defined to be :
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
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