/usr/share/octave/packages/statistics-1.3.0/hygestat.m is in octave-statistics 1.3.0-4.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 | ## Copyright (C) 2006, 2007 Arno Onken <asnelt@asnelt.org>
##
## This program is free software; you can redistribute it and/or modify it under
## the terms of the GNU General Public License as published by the Free Software
## Foundation; either version 3 of the License, or (at your option) any later
## version.
##
## This program is distributed in the hope that it will be useful, but WITHOUT
## ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
## FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
## details.
##
## You should have received a copy of the GNU General Public License along with
## this program; if not, see <http://www.gnu.org/licenses/>.
## -*- 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
## Author: Arno Onken <asnelt@asnelt.org>
## Description: Moments of the hypergeometric distribution
function [mn, v] = hygestat (t, m, n)
# Check arguments
if (nargin != 3)
print_usage ();
endif
if (! isempty (t) && ! ismatrix (t))
error ("hygestat: t must be a numeric matrix");
endif
if (! isempty (m) && ! ismatrix (m))
error ("hygestat: m must be a numeric matrix");
endif
if (! isempty (n) && ! ismatrix (n))
error ("hygestat: n must be a numeric matrix");
endif
if (! isscalar (t) || ! isscalar (m) || ! isscalar (n))
[retval, t, m, n] = common_size (t, m, n);
if (retval > 0)
error ("hygestat: t, m and n must be of common size or scalar");
endif
endif
# Calculate moments
mn = (n .* m) ./ t;
v = (n .* (m ./ t) .* (1 - m ./ t) .* (t - n)) ./ (t - 1);
# Continue argument check
k = find (! (t >= 0) | ! (m >= 0) | ! (n > 0) | ! (t == round (t)) | ! (m == round (m)) | ! (n == round (n)) | ! (m <= t) | ! (n <= t));
if (any (k))
mn(k) = NaN;
v(k) = NaN;
endif
endfunction
%!test
%! t = 4:9;
%! m = 0:5;
%! n = 1:6;
%! [mn, v] = hygestat (t, m, n);
%! expected_mn = [0.0000, 0.4000, 1.0000, 1.7143, 2.5000, 3.3333];
%! expected_v = [0.0000, 0.2400, 0.4000, 0.4898, 0.5357, 0.5556];
%! assert (mn, expected_mn, 0.001);
%! assert (v, expected_v, 0.001);
%!test
%! t = 4:9;
%! m = 0:5;
%! [mn, v] = hygestat (t, m, 2);
%! expected_mn = [0.0000, 0.4000, 0.6667, 0.8571, 1.0000, 1.1111];
%! expected_v = [0.0000, 0.2400, 0.3556, 0.4082, 0.4286, 0.4321];
%! assert (mn, expected_mn, 0.001);
%! assert (v, expected_v, 0.001);
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