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📄 binomial.c

📁 This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY without ev
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/* cdf/binomial.c *  * Copyright (C) 2004 Jason H. Stover. * Copyright (C) 2004 Giulio Bottazzi *  * 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 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, write to the Free Software * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. */#include <config.h>#include <math.h>#include <gsl/gsl_math.h>#include <gsl/gsl_cdf.h>#include <gsl/gsl_sf_gamma.h>#include "error.h"/* Computes the cumulative distribution function for a binomial   random variable. For a binomial random variable X with n trials   and success probability p,              Pr( X <= k ) = Pr( Y >= p )    where Y is a beta random variable with parameters k+1 and n-k.    The binomial distribution has the form,   prob(k) =  n!/(k!(n-k)!) *  p^k (1-p)^(n-k) for k = 0, 1, ..., n   The cumulated distributions can be expressed in terms of normalized   incomplete beta functions (see Abramowitz & Stegun eq. 26.5.26 and   eq. 6.6.3).   Reference:      W. Feller, "An Introduction to Probability and Its   Applications," volume 1. Wiley, 1968. Exercise 45, page 173,   chapter 6. */#include <config.h>#include <math.h>#include <gsl/gsl_math.h>#include <gsl/gsl_errno.h>#include <gsl/gsl_cdf.h>doublegsl_cdf_binomial_P (const unsigned int k, const double p, const unsigned int n){  double P;  double a;  double b;  if (p > 1.0 || p < 0.0)    {      CDF_ERROR ("p < 0 or p > 1", GSL_EDOM);    }  if (k >= n)    {      P = 1.0;    }  else    {      a = (double) k + 1.0;      b = (double) n - k;      P = gsl_cdf_beta_Q (p, a, b);    }  return P;}doublegsl_cdf_binomial_Q (const unsigned int k, const double p, const unsigned int n){  double Q;  double a;  double b;  if (p > 1.0 || p < 0.0)    {      CDF_ERROR ("p < 0 or p > 1", GSL_EDOM);    }  if (k >= n)    {      Q = 0.0;    }  else    {      a = (double) k + 1.0;      b = (double) n - k;      Q = gsl_cdf_beta_P (p, a, b);    }  return Q;}

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