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raylcdf

PURPOSE

% Compute the cumulative distribution function of the Rayleigh

SYNOPSIS

function p = raylcdf (x, sigma)

DESCRIPTION

```% -*- texinfo -*-
% @deftypefn {Function File} {@var{p} =} raylcdf (@var{x}, @var{sigma})
% Compute the cumulative distribution function of the Rayleigh
% distribution.
%
%
% @itemize @bullet
% @item
% @var{x} is the support. The elements of @var{x} must be non-negative.
%
% @item
% @var{sigma} is the parameter of the Rayleigh distribution. The elements
% of @var{sigma} must be positive.
% @end itemize
% @var{x} and @var{sigma} must be of common size or one of them must be
% scalar.
%
%
% @itemize @bullet
% @item
% @var{p} is the cumulative distribution of the Rayleigh distribution at
% each element of @var{x} and corresponding parameter @var{sigma}.
% @end itemize
%
%
% @example
% @group
% x = 0:0.5:2.5;
% sigma = 1:6;
% p = raylcdf (x, sigma)
% @end group
%
% @group
% p = raylcdf (x, 0.5)
% @end group
% @end example
%
%
% @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```

CROSS-REFERENCE INFORMATION

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