### Function Reference: `evrnd`

statistics: r = evrnd (mu, sigma)
statistics: r = evrnd (mu, sigma, rows)
statistics: r = evrnd (mu, sigma, rows, cols, …)
statistics: r = evrnd (mu, sigma, [sz])

Random arrays from the extreme value distribution.

`r = evrnd (mu, sigma)` returns an array of random numbers chosen from the extreme value distribution (also known as the Gumbel or the type I generalized extreme value distribution) with location parameter mu and scale parameter sigma. The size of r is the common size of mu and sigma. A scalar input functions as a constant matrix of the same size as the other inputs.

When called with a single size argument, `evrnd` returns a square matrix with the dimension specified. When called with more than one scalar argument, the first two arguments are taken as the number of rows and columns and any further arguments specify additional matrix dimensions. The size may also be specified with a row vector of dimensions, sz.

The Gumbel distribution is used to model the distribution of the maximum (or the minimum) of a number of samples of various distributions. This version is suitable for modeling minima. For modeling maxima, use the alternative Gumbel iCDF, `gumbelinv`.

Further information about the Gumbel distribution can be found at https://en.wikipedia.org/wiki/Gumbel_distribution

See also: evcdf, evinv, evpdf, evfit, evlike, evstat

Source Code: evrnd