function negative_binomial_sample_test ( )

%*****************************************************************************80
%
%% negative_binomial_sample_test() tests negative_binomial_sample().
%
%  Licensing:
%
%    This code is distributed under the MIT license.
%
%  Modified:
%
%    03 April 2016
%
%  Author:
%
%    John Burkardt
%
  nsample = 1000;

  fprintf ( 1, '\n' );
  fprintf ( 1, 'NEGATIVE_BINOMIAL_SAMPLE_TEST():\n' );
  fprintf ( 1, '  NEGATIVE_BINOMIAL_MEAN() computes the Negative Binomial mean;\n' );
  fprintf ( 1, '  NEGATIVE_BINOMIAL_SAMPLE() samples the Negative Binomial distribution;\n' );
  fprintf ( 1, '  NEGATIVE_BINOMIAL_VARIANCE() computes the Negative Binomial variance.\n' );

  a = 2;
  b = 0.75;

  if ( ~ negative_binomial_check ( a, b ) )
    fprintf ( 1, '\n' );
    fprintf ( 1, 'NEGATIVE_BINOMIAL_SAMPLE_TEST(): Fatal error!\n' );
    fprintf ( 1, '  The parameters are not legal.\n' );
    return
  end
  
  x_mean = negative_binomial_mean ( a, b );
  x_var = negative_binomial_variance ( a, b );

  fprintf ( 1, '\n' );
  fprintf ( 1, '  PDF parameter A =             %6d\n', a );
  fprintf ( 1, '  PDF parameter B =             %14g\n', b );
  fprintf ( 1, '  PDF mean =                    %14g\n', x_mean );
  fprintf ( 1, '  PDF variance =                %14g\n', x_var );

  x = zeros ( nsample, 1 );  
  for i = 1 : nsample
    x(i) = negative_binomial_sample ( a, b );
  end

  x_mean = mean ( x );
  x_var = var ( x );
  x_max = max ( x );
  x_min = min ( x );

  fprintf ( 1, '\n' );
  fprintf ( 1, '  Sample size =     %6d\n', nsample );
  fprintf ( 1, '  Sample mean =     %14f\n', x_mean );
  fprintf ( 1, '  Sample variance = %14f\n', x_var );
  fprintf ( 1, '  Sample maximum =  %6d\n', x_max );
  fprintf ( 1, '  Sample minimum =  %6d\n', x_min );

  return
end
