% -*- texinfo -*-
% @deftypefn {Function File} {@var{x} =} raylinv (@var{p}, @var{sigma})
% Compute the quantile of the Rayleigh distribution. The quantile is the
% inverse of the cumulative distribution function.
%
% @subheading Arguments
%
% @itemize @bullet
% @item
% @var{p} is the cumulative distribution. The elements of @var{p} must be
% probabilities.
%
% @item
% @var{sigma} is the parameter of the Rayleigh distribution. The elements
% of @var{sigma} must be positive.
% @end itemize
% @var{p} and @var{sigma} must be of common size or one of them must be
% scalar.
%
% @subheading Return values
%
% @itemize @bullet
% @item
% @var{x} is the quantile of the Rayleigh distribution at each element of
% @var{p} and corresponding parameter @var{sigma}.
% @end itemize
%
% @subheading Examples
%
% @example
% @group
% p = 0:0.1:0.5;
% sigma = 1:6;
% x = raylinv (p, sigma)
% @end group
%
% @group
% x = raylinv (p, 0.5)
% @end group
% @end example
%
% @subheading References
%
% @enumerate
% @item
% Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics
% Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC,
% 2001.
%
% @item
% Athanasios Papoulis. @cite{Probability, Random Variables, and Stochastic
% Processes}. pages 104 and 148, McGraw-Hill, New York, second edition,
% 1984.
% @end enumerate
% @end deftypefn