In probability theory, the Type-2 Gumbel probability density function is
For 0 < a ≤ 1 {\displaystyle \ 0<a\leq 1\ } the mean is infinite. For 0 < a ≤ 2 {\displaystyle \ 0<a\leq 2\ } the variance is infinite.
The cumulative distribution function is
The moments E [ X k ] {\displaystyle \ \mathbb {E} {\bigl [}X^{k}{\bigr ]}\ } exist for k < a {\displaystyle \ k<a\ }
The distribution is named after Emil Julius Gumbel (1891 – 1966).
Given a random variate U {\displaystyle \ U\ } drawn from the uniform distribution in the interval ( 0 , 1 ) , {\displaystyle \ (0,1)\ ,} then the variate
has a Type-2 Gumbel distribution with parameter a {\displaystyle \ a\ } and b . {\displaystyle \ b~.} This is obtained by applying the inverse transform sampling-method.
Based on "Gumbel distribution". The GNU Scientific Library. type 002d2, used under GFDL.