private static void chi_square_noncentral_sample_test()
//****************************************************************************80
//
// Purpose:
//
// 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
//
{
const int SAMPLE_NUM = 1000;
int i;
const int seed_init = 123456789;
double[] x = new double [SAMPLE_NUM];
Console.WriteLine("");
Console.WriteLine("CHI_SQUARE_NONCENTRAL_SAMPLE_TEST");
Console.WriteLine(" CHI_SQUARE_NONCENTRAL_MEAN computes the Chi Square Noncentral mean;");
Console.WriteLine(" CHI_SQUARE_NONCENTRAL_SAMPLE samples the Chi Square Noncentral distribution;");
Console.WriteLine(" CHI_SQUARE_NONCENTRAL_VARIANCE computes the Chi Square Noncentral variance;");
const double a = 3.0;
const double b = 2.0;
Console.WriteLine("");
Console.WriteLine(" PDF parameter A = " + a + "");
Console.WriteLine(" PDF parameter B = " + b + "");
if (!Chi.chi_square_noncentral_check(a, b))
{
Console.WriteLine("");
Console.WriteLine("CHI_SQUARE_NONCENTRAL_SAMPLE_TEST - Fatal error!");
Console.WriteLine(" The parameters are not legal.");
return;
}
double mean = Chi.chi_square_noncentral_mean(a, b);
double variance = Chi.chi_square_noncentral_variance(a, b);
Console.WriteLine("");
Console.WriteLine(" PDF mean = " + mean + "");
Console.WriteLine(" PDF variance = " + variance + "");
int seed = seed_init;
for (i = 0; i < SAMPLE_NUM; i++)
{
x[i] = Chi.chi_square_noncentral_sample(a, b, ref seed);
}
mean = typeMethods.r8vec_mean(SAMPLE_NUM, x);
variance = typeMethods.r8vec_variance(SAMPLE_NUM, x);
double xmax = typeMethods.r8vec_max(SAMPLE_NUM, x);
double xmin = typeMethods.r8vec_min(SAMPLE_NUM, x);
Console.WriteLine("");
Console.WriteLine(" Initial seed = " + seed_init + "");
Console.WriteLine(" Final seed = " + seed + "");
Console.WriteLine(" Sample size = " + SAMPLE_NUM + "");
Console.WriteLine(" Sample mean = " + mean + "");
Console.WriteLine(" Sample variance = " + variance + "");
Console.WriteLine(" Sample maximum = " + xmax + "");
Console.WriteLine(" Sample minimum = " + xmin + "");
}