function chi_square_noncentral_sample_test ( ) %*****************************************************************************80 % %% CHI_SQUARE_NONCENTRAL_SAMPLE_TEST tests CHI_SQUARE_NONCENTRAL_SAMPLE. % % Licensing: % % This code is distributed under the GNU LGPL license. % % Modified: % % 12 April 2016 % % Author: % % John Burkardt % nsample = 1000; seed = 123456789; fprintf ( 1, '\n' ); fprintf ( 1, 'CHI_SQUARE_NONCENTRAL_SAMPLE_TEST\n' ); fprintf ( 1, ' CHI_SQUARE_NONCENTRAL_MEAN computes the Chi Square Noncentral mean.\n' ); fprintf ( 1, ' CHI_SQUARE_NONCENTRAL_SAMPLE samples the Chi Square Noncentral PDF.\n' ); fprintf ( 1, ' CHI_SQUARE_NONCENTRAL_VARIANCE computes the Chi Square Noncentral variance.\n' ); a = 3.0; b = 2.0; check = chi_square_noncentral_check ( a, b ); if ( ~ check ); fprintf ( 1, '\n' ); fprintf ( 1, 'CHI_SQUARE_NONCENTRAL_SAMPLE_TEST - Fatal error!\n' ); fprintf ( 1, ' The parameters are not legal.\n' ); return end mean = chi_square_noncentral_mean ( a, b ); variance = chi_square_noncentral_variance ( a, b ); fprintf ( 1, '\n' ); fprintf ( 1, ' PDF parameter A = %14g\n', a ); fprintf ( 1, ' PDF parameter B = %14g\n', b ); fprintf ( 1, ' PDF mean = %14g\n', mean ); fprintf ( 1, ' PDF variance = %14g\n', variance ); fprintf ( 1, '\n' ); fprintf ( 1, ' Initial seed = %12d\n', seed ); for i = 1 : nsample [ x(i), seed ] = chi_square_noncentral_sample ( a, b, seed ); end mean = r8vec_mean ( nsample, x ); variance = r8vec_variance ( nsample, x ); xmax = max ( x(1:nsample) ); xmin = min ( x(1:nsample) ); fprintf ( 1, ' Final seed = %12d\n', seed ); fprintf ( 1, ' Sample size = %6d\n', nsample ); fprintf ( 1, ' Sample mean = %14g\n', mean ); fprintf ( 1, ' Sample variance = %14g\n', variance ); fprintf ( 1, ' Sample maximum = %14g\n', xmax ); fprintf ( 1, ' Sample minimum = %14g\n', xmin ); return end