Mercurial > hg > octave-nkf
view scripts/statistics/distributions/pascal_cdf.m @ 3191:e4f4b2d26ee9
[project @ 1998-10-23 05:43:59 by jwe]
author | jwe |
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date | Fri, 23 Oct 1998 05:44:01 +0000 |
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children | f8dde1807dee |
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## Copyright (C) 1995, 1996, 1997 Kurt Hornik ## ## 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 2, 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 file. If not, write to the Free Software Foundation, ## 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. ## usage: pascal_cdf (x, n, p) ## ## For each element of x, compute the CDF at x of the Pascal (negative ## binomial) distribution with parameters n and p. ## ## The number of failures in a Bernoulli experiment with success ## probability p before the n-th success follows this distribution. ## Author: KH <Kurt.Hornik@ci.tuwien.ac.at> ## Description: CDF of the Pascal (negative binomial) distribution function cdf = pascal_cdf (x, n, p) if (nargin != 3) usage ("pascal_cdf (x, n, p)"); endif [retval, x, n, p] = common_size (x, n, p); if (retval > 0) error (["pascal_cdf: ", ... "x, n and p must be of common size or scalar"]); endif [r, c] = size (x); s = r * c; x = reshape (x, 1, s); n = reshape (n, 1, s); p = reshape (p, 1, s); cdf = zeros (1, s); k = find (isnan (x) | (n < 1) | (n == Inf) | (n != round (n)) ... | (p < 0) | (p > 1)); if any (k) cdf(k) = NaN * ones (1, length (k)); endif k = find ((x == Inf) & (n > 0) & (n < Inf) & (n == round (n)) ... & (p >= 0) & (p <= 1)); if any (k) cdf(k) = ones (1, length (k)); endif k = find ((x >= 0) & (x < Inf) & (x == round (x)) & (n > 0) ... & (n < Inf) & (n == round (n)) & (p > 0) & (p <= 1)); if any (k) ## Does anyone know a better way to do the summation? m = zeros (1, length (k)); x = floor (x(k)); n = n(k); p = p(k); y = cdf(k); while (1) l = find (m <= x); if any (l) y(l) = y(l) + pascal_pdf (m(l), n(l), p(l)); m(l) = m(l) + 1; else break; endif endwhile cdf(k) = y; endif cdf = reshape (cdf, r, c); endfunction