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author | John W. Eaton <jwe@octave.org> |
---|---|
date | Sat, 07 Mar 2009 10:41:27 -0500 |
parents | 81d6ab3ac93c |
children | 1bf0ce0930be |
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## Copyright (C) 1995, 1996, 1997, 1998, 2000, 2002, 2004, 2005, 2006, ## 2007, 2008, 2009 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} {} kolmogorov_smirnov_cdf (@var{x}, @var{tol}) ## Return the CDF at @var{x} of the Kolmogorov-Smirnov distribution, ## @iftex ## @tex ## $$ Q(x) = \sum_{k=-\infty}^\infty (-1)^k \exp(-2 k^2 x^2) $$ ## @end tex ## @end iftex ## @ifnottex ## @example ## Inf ## Q(x) = SUM (-1)^k exp(-2 k^2 x^2) ## k = -Inf ## @end example ## @end ifnottex ## ## @noindent ## for @var{x} > 0. ## ## The optional parameter @var{tol} specifies the precision up to which ## the series should be evaluated; the default is @var{tol} = @code{eps}. ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: CDF of the Kolmogorov-Smirnov distribution function cdf = kolmogorov_smirnov_cdf (x, tol) if (nargin < 1 || nargin > 2) print_usage (); endif if (nargin == 1) if (isa (x, "single")) tol = eps ("single"); else tol = eps; endif else if (! isscalar (tol) || ! (tol > 0)) error ("kolmogorov_smirnov_cdf: tol has to be a positive scalar"); endif endif n = numel (x); if (n == 0) error ("kolmogorov_smirnov_cdf: x must not be empty"); endif cdf = zeros (size (x)); ind = find (x > 0); if (length (ind) > 0) if (size(ind,2) < size(ind,1)) y = x(ind.'); else y = x(ind); endif K = ceil (sqrt (- log (tol) / 2) / min (y)); k = (1:K)'; A = exp (- 2 * k.^2 * y.^2); odd = find (rem (k, 2) == 1); A(odd,:) = -A(odd,:); cdf(ind) = 1 + 2 * sum (A); endif endfunction