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Skew normal distribution : ウィキペディア英語版 | Skew normal distribution \int_^\right)} e^}\ dt| cdf = is Owen's T function| mean = where | skewness =| entropy =| mgf =| cf =| char =| }} In probability theory and statistics, the skew normal distribution is a continuous probability distribution that generalises the normal distribution to allow for non-zero skewness. ==Definition==
Let denote the standard normal probability density function : with the cumulative distribution function given by :. One can verify that the normal distribution is recovered when , and that the absolute value of the skewness increases as the absolute value of increases. The distribution is right skewed if and is left skewed if . The probability density function with location , scale , and parameter becomes : Note, however, that the skewness of the distribution is limited to the interval .
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「Skew normal distribution」の詳細全文を読む
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