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hygestat

PURPOSE ^

% Compute mean and variance of the hypergeometric distribution.

SYNOPSIS ^

function [mn, v] = hygestat (t, m, n)

DESCRIPTION ^

% -*- texinfo -*-
% @deftypefn {Function File} {[@var{mn}, @var{v}] =} hygestat (@var{t}, @var{m}, @var{n})
% Compute mean and variance of the hypergeometric distribution.
%
% @subheading Arguments
%
% @itemize @bullet
% @item
% @var{t} is the total size of the population of the hypergeometric
% distribution. The elements of @var{t} must be positive natural numbers
%
% @item
% @var{m} is the number of marked items of the hypergeometric distribution.
% The elements of @var{m} must be natural numbers
%
% @item
% @var{n} is the size of the drawn sample of the hypergeometric
% distribution. The elements of @var{n} must be positive natural numbers
% @end itemize
% @var{t}, @var{m}, and @var{n} must be of common size or scalar
%
% @subheading Return values
%
% @itemize @bullet
% @item
% @var{mn} is the mean of the hypergeometric distribution
%
% @item
% @var{v} is the variance of the hypergeometric distribution
% @end itemize
%
% @subheading Examples
%
% @example
% @group
% t = 4:9;
% m = 0:5;
% n = 1:6;
% [mn, v] = hygestat (t, m, n)
% @end group
%
% @group
% [mn, v] = hygestat (t, m, 2)
% @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}. McGraw-Hill, New York, second edition, 1984.
% @end enumerate
% @end deftypefn

CROSS-REFERENCE INFORMATION ^

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