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# Documentation

## Logistic Distribution

### Overview

The logistic distribution is used for growth models and in logistic regression. It has longer tails and a higher kurtosis than the normal distribution.

### Parameters

The logistic distribution uses the following parameters.

ParameterDescriptionSupport
muMean$-\infty <\mu <\infty$
sigmaScale parameter$\sigma \ge 0$

### Probability Density Function

The probability density function (pdf) is

$f\left(x|\mu ,\sigma \right)=\frac{\mathrm{exp}\left\{\frac{x-\mu }{\sigma }\right\}}{\sigma {\left(1+\mathrm{exp}\left\{\frac{x-\mu }{\sigma }\right\}\right)}^{2}}\text{ };\text{ }-\infty

### Relationship to Other Distributions

The loglogistic distribution is closely related to the logistic distribution. If x is distributed loglogistically with parameters μ and σ, then log(x) is distributed logistically with mean and standard deviation.