function beta_binomial_sample_test ( ) %*****************************************************************************80 % %% BETA_BINOMIAL_SAMPLE_TEST tests BETA_BINOMIAL_MEAN, BETA_BINOMIAL_SAMPLE, BETA_BINOMIAL_VARIANCE. % % Licensing: % % This code is distributed under the GNU LGPL license. % % Modified: % % 15 April 2009 % % Author: % % John Burkardt % nsample = 1000; seed = 123456789; fprintf ( 1, '\n' ); fprintf ( 1, 'BETA_BINOMIAL_SAMPLE_TEST\n' ); fprintf ( 1, ' BETA_BINOMIAL_MEAN computes the Beta Binomial mean;\n' ); fprintf ( 1, ' BETA_BINOMIAL_SAMPLE samples the Beta Binomial distribution;\n' ); fprintf ( 1, ' BETA_BINOMIAL_VARIANCE computes the Beta Binomial variance.\n' ); a = 2.0; b = 3.0; c = 4; check = beta_binomial_check ( a, b, c ); if ( ~check ); fprintf ( 1, '\n' ); fprintf ( 1, 'BETA_BINOMIAL_SAMPLE_TEST - Fatal error!\n' ); fprintf ( 1, ' The parameters are not legal.\n' ); return end mean = beta_binomial_mean ( a, b, c ); variance = beta_binomial_variance ( a, b, c ); fprintf ( 1, '\n' ); fprintf ( 1, ' PDF parameter A = %14f\n', a ); fprintf ( 1, ' PDF parameter B = %14f\n', b ); fprintf ( 1, ' PDF parameter C = %6d\n', c ); fprintf ( 1, ' PDF mean = %14f\n', mean ); fprintf ( 1, ' PDF variance = %14f\n', variance ); for i = 1 : nsample [ x(i), seed ] = beta_binomial_sample ( a, b, c, seed ); end mean = i4vec_mean ( nsample, x ); variance = i4vec_variance ( nsample, x ); xmax = max ( x(1:nsample) ); xmin = min ( x(1:nsample) ); fprintf ( 1, '\n' ); fprintf ( 1, ' Sample size = %6d\n', nsample ); fprintf ( 1, ' Sample mean = %14f\n', mean ); fprintf ( 1, ' Sample variance = %14f\n', variance ); fprintf ( 1, ' Sample maximum = %6d\n', xmax ); fprintf ( 1, ' Sample minimum = %6d\n', xmin ); return end