function negative_binomial_sample_test ( )

%*****************************************************************************80
%
%% NEGATIVE_BINOMIAL_SAMPLE_TEST tests NEGATIVE_BINOMIAL_SAMPLE.
%
%  Licensing:
%
%    This code is distributed under the GNU LGPL license.
%
%  Modified:
%
%    03 April 2016
%
%  Author:
%
%    John Burkardt
%
  nsample = 1000;
  seed = 123456789;

  fprintf ( 1, '\n' );
  fprintf ( 1, 'NEGATIVE_BINOMIAL_SAMPLE_TEST\n' );
  fprintf ( 1, '  For the Negative Binomial PDF:\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
  
  mean = negative_binomial_mean ( a, b );
  variance = 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', mean );
  fprintf ( 1, '  PDF variance =                %14g\n', variance );
  
  for i = 1 : nsample
    [ x(i), seed ] = negative_binomial_sample ( a, b, 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 =     %14g\n', mean );
  fprintf ( 1, '  Sample variance = %14g\n', variance );
  fprintf ( 1, '  Sample maximum =  %6d\n', xmax );
  fprintf ( 1, '  Sample minimum =  %6d\n', xmin );

  return
end
