In probability theory and statistics, the half-logistic distribution is a continuous probability distribution - the distribution of the absolute value of a random variable following the logistic distribution. That is, for
X=|Y|
where Y is a logistic random variable, X is a half-logistic random variable.
The cumulative distribution function (cdf) of the half-logistic distribution is intimately related to the cdf of the logistic distribution. Formally, if F(k) is the cdf for the logistic distribution, then G(k) = 2F(k) - 1 is the cdf of a half-logistic distribution. Specifically,
G(k)=
1-e-k | |
1+e-k |
fork\geq0.
Similarly, the probability density function (pdf) of the half-logistic distribution is g(k) = 2f(k) if f(k) is the pdf of the logistic distribution. Explicitly,
g(k)=
2e-k | |
(1+e-k)2 |
fork\geq0.