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📄 gampdf.m

📁 similer program for matlab
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## Copyright (C) 1995, 1996, 1997, 2005, 2006, 2007 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 3 of the License, 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, see## <http://www.gnu.org/licenses/>.## -*- texinfo -*-## @deftypefn {Function File} {} gampdf (@var{x}, @var{a}, @var{b})## For each element of @var{x}, return the probability density function## (PDF) at @var{x} of the Gamma distribution with parameters @var{a}## and @var{b}.## @seealso{gamma, gammaln, gammainc, gamcdf, gaminv, gamrnd}## @end deftypefn## Author: TT <Teresa.Twaroch@ci.tuwien.ac.at>## Description: PDF of the Gamma distributionfunction pdf = gampdf (x, a, b)  if (nargin != 3)    print_usage ();  endif  if (!isscalar (a) || !isscalar(b))    [retval, x, a, b] = common_size (x, a, b);    if (retval > 0)      error ("gampdf: x, a and b must be of common size or scalars");    endif  endif  sz = size(x);  pdf = zeros (sz);  k = find (!(a > 0) | !(b > 0) | isnan (x));  if (any (k))    pdf (k) = NaN;  endif  k = find ((x > 0) & (a > 0) & (a <= 1) & (b > 0));  if (any (k))    if (isscalar(a) && isscalar(b))      pdf(k) = (x(k) .^ (a - 1)) ...		.* exp(- x(k) ./ b) ./ gamma (a) ./ (b .^ a);    else      pdf(k) = (x(k) .^ (a(k) - 1)) ...		.* exp(- x(k) ./ b(k)) ./ gamma (a(k)) ./ (b(k) .^ a(k));    endif  endif  k = find ((x > 0) & (a > 1) & (b > 0));  if (any (k))    if (isscalar(a) && isscalar(b))      pdf(k) = exp (- a .* log (b) + (a-1) .* log (x(k))		    - x(k) ./ b - gammaln (a));    else      pdf(k) = exp (- a(k) .* log (b(k)) + (a(k)-1) .* log (x(k))		    - x(k) ./ b(k) - gammaln (a(k)));    endif  endifendfunction

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