Mercurial > octave-nkf
diff scripts/statistics/distributions/poisspdf.m @ 5410:56e066f5efc1
[project @ 2005-07-13 17:43:35 by jwe]
author | jwe |
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date | Wed, 13 Jul 2005 17:43:35 +0000 |
parents | |
children | bee21f388110 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/scripts/statistics/distributions/poisspdf.m Wed Jul 13 17:43:35 2005 +0000 @@ -0,0 +1,58 @@ +## Copyright (C) 1995, 1996, 1997 Kurt Hornik +## +## This file is part of Octave. +## +## Octave 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 2, or (at your option) +## any later version. +## +## Octave 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 Octave; see the file COPYING. If not, write to the Free +## Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA +## 02110-1301, USA. + +## -*- texinfo -*- +## @deftypefn {Function File} {} poisson_pdf (@var{x}, @var{lambda}) +## For each element of @var{x}, compute the probability density function +## (PDF) at @var{x} of the poisson distribution with parameter @var{lambda}. +## @end deftypefn + +## Author: KH <Kurt.Hornik@ci.tuwien.ac.at> +## Description: PDF of the Poisson distribution + +function pdf = poisson_pdf (x, l) + + if (nargin != 2) + usage ("poisson_pdf (x, lambda)"); + endif + + if (!isscalar (l)) + [retval, x, l] = common_size (x, l); + if (retval > 0) + error ("poisson_pdf: x and lambda must be of common size or scalar"); + endif + endif + + pdf = zeros (size (x)); + + k = find (!(l > 0) | isnan (x)); + if (any (k)) + pdf(k) = NaN; + endif + + k = find ((x >= 0) & (x < Inf) & (x == round (x)) & (l > 0)); + if (any (k)) + if (isscalar (l)) + pdf(k) = exp (x(k) .* log (l) - l - gammaln (x(k) + 1)); + else + pdf(k) = exp (x(k) .* log (l(k)) - l(k) - gammaln (x(k) + 1)); + endif + endif + +endfunction