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Mean integrated squared error : ウィキペディア英語版 | Mean integrated squared error
In statistics, the mean integrated squared error (MISE) is used in density estimation. The MISE of an estimate of an unknown probability density is given by : where ''ƒ'' is the unknown density, ''ƒ''''n'' is its estimate based on a sample of ''n'' independent and identically distributed random variables. Here, E denotes the expected value with respect to that sample. The MISE is also known as ''L''2 risk function. ==See also==
* Minimum distance estimation * Mean squared error
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