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Logistic distribution : ウィキペディア英語版
Logistic distribution
} }\right)^2}\!|
cdf =\frac}}\!|
mean =\mu|
median =\mu|
mode =\mu|
variance =\tfrac|
skewness =0|
kurtosis =1.2|
entropy =\ln(s) + 2 = \ln(\sigma) + 1.404576,
where ''σ'' is the standard deviation.|
mgf =e^\operatorname(1-st, 1+st)
for ''st'' ∈ (−1, 1) Beta function|
char =e^\frac}}
In probability theory and statistics, the logistic distribution is a continuous probability distribution. Its cumulative distribution function is the logistic function, which appears in logistic regression and feedforward neural networks. It resembles the normal distribution in shape but has heavier tails (higher kurtosis). The Tukey lambda distribution can be considered a generalization of the logistic distribution since it adds a shape parameter, ''λ'' (the Tukey distribution is logistic when ''λ'' is zero).
== Specification ==


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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