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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.
It resembles the normal distribution in shape but has heavier tails (higher kurtosis).
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Because the pdf can be expressed in terms of the square of the hyperbolic secant function "sech", it is sometimes referred to as the sech-square(d) distribution.
- See also: hyperbolic secant distribution
Quantile function The inverse cumulative distribution function of the logistic distribution is , a generalization of the logit function, defined as follows: Alternative parameterization An alternative parameterization of the logistic distribution can be derived using the substitution .

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Encyclopedia
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).
Specification
Cumulative distribution function The logistic distribution receives its name from its cumulative distribution function (cdf), which is an instance of the family of logistic functions:
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Probability density function The probability density function (pdf) of the logistic distribution is given by:
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Because the pdf can be expressed in terms of the square of the hyperbolic secant function "sech", it is sometimes referred to as the sech-square(d) distribution.
- See also: hyperbolic secant distribution
Quantile function The inverse cumulative distribution function of the logistic distribution is , a generalization of the logit function, defined as follows:
Alternative parameterization An alternative parameterization of the logistic distribution can be derived using the substitution . This yields the following density function:
Applications Both the United States Chess Federation and FIDE have switched their formulas for calculating chess ratings from the normal distribution to the logistic distribution, see Elo rating system.
The logistic distribution and the S-shaped pattern that results from it have been extensively used in many different areas the most important of which include:
? Biology - to describe how species populations grow in competition
? Epidemiology - to describe the spreading of epidemics
? Psychology - to describe learning
? Technology - to describe how new technologies diffuse and substitute for each other
? Market - the diffusion of new-product sales
? Energy - the diffusion and substitution of primary energy sources
Related distributions
If log(X) has a logistic distribution then X has a log-logistic distribution and X – a has a shifted log-logistic distribution.
Derivations
Expected Value
- Substitute:
- Note the odd function:
See also
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