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- | ====== Logistic Distribution ====== | ||
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- | 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. | ||
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- | The logistic distribution has longer tails than the normal distribution and a higher kurtosis of 1.2 (compared with 0 for the normal distribution). A related distribution is the half-logistic distribution. | ||
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- | f(x,mu,s) = exp(-(x-mu)/ | ||
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- | where | ||
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- | s = s/ | ||
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- | support -Inf <= x <= Inf | ||
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- | ^Parameter^Description | ||
- | |Mu |The mean value | ||
- | |S |The scale parameter|1.0 | ||
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