private static void geometric_cdf_test()
//****************************************************************************80
//
// Purpose:
//
// GEOMETRIC_CDF_TEST tests GEOMETRIC_CDF.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 27 January 2007
//
// Author:
//
// John Burkardt
//
{
int i;
int seed = 123456789;
Console.WriteLine("");
Console.WriteLine("GEOMETRIC_CDF_TEST");
Console.WriteLine(" GEOMETRIC_CDF evaluates the Geometric CDF;");
Console.WriteLine(" GEOMETRIC_CDF_INV inverts the Geometric CDF.");
Console.WriteLine(" GEOMETRIC_PDF evaluates the Geometric PDF;");
const double a = 0.25E+00;
Console.WriteLine("");
Console.WriteLine(" PDF parameter A = " + a + "");
if (!Geometric.geometric_check(a))
{
Console.WriteLine("");
Console.WriteLine("GEOMETRIC_CDF_TEST - Fatal error!");
Console.WriteLine(" The parameters are not legal.");
return;
}
Console.WriteLine("");
Console.WriteLine(" X PDF CDF CDF_INV");
Console.WriteLine("");
for (i = 1; i <= 10; i++)
{
int x = Geometric.geometric_sample(a, ref seed);
double pdf = Geometric.geometric_pdf(x, a);
double cdf = Geometric.geometric_cdf(x, a);
int x2 = Geometric.geometric_cdf_inv(cdf, a);
Console.WriteLine(" "
+ x.ToString(CultureInfo.InvariantCulture).PadLeft(12) + " "
+ pdf.ToString(CultureInfo.InvariantCulture).PadLeft(12) + " "
+ cdf.ToString(CultureInfo.InvariantCulture).PadLeft(12) + " "
+ x2.ToString(CultureInfo.InvariantCulture).PadLeft(12) + "");
}
}
private static void geometric_sample_test()
//****************************************************************************80
//
// Purpose:
//
// GEOMETRIC_SAMPLE_TEST tests GEOMETRIC_SAMPLE.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 27 January 2007
//
// Author:
//
// John Burkardt
//
{
const int SAMPLE_NUM = 1000;
int j;
int seed = 123456789;
int[] x = new int[SAMPLE_NUM];
Console.WriteLine("");
Console.WriteLine("GEOMETRIC_SAMPLE_TEST");
Console.WriteLine(" GEOMETRIC_MEAN computes the Geometric mean;");
Console.WriteLine(" GEOMETRIC_SAMPLE samples the Geometric distribution;");
Console.WriteLine(" GEOMETRIC_VARIANCE computes the Geometric variance.");
const double a = 0.25E+00;
Console.WriteLine("");
Console.WriteLine(" PDF parameter A = " + a + "");
if (!Geometric.geometric_check(a))
{
Console.WriteLine("");
Console.WriteLine("GEOMETRIC_SAMPLE_TEST - Fatal error!");
Console.WriteLine(" The parameters are not legal.");
return;
}
double mean = Geometric.geometric_mean(a);
double variance = Geometric.geometric_variance(a);
Console.WriteLine(" PDF mean = " + mean + "");
Console.WriteLine(" PDF variance = " + variance + "");
for (j = 0; j < SAMPLE_NUM; j++)
{
x[j] = Geometric.geometric_sample(a, ref seed);
}
mean = typeMethods.i4vec_mean(SAMPLE_NUM, x);
variance = typeMethods.i4vec_variance(SAMPLE_NUM, x);
int xmax = typeMethods.i4vec_max(SAMPLE_NUM, x);
int xmin = typeMethods.i4vec_min(SAMPLE_NUM, x);
Console.WriteLine("");
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 + "");
}
