private static void log_series_cdf_test()
//****************************************************************************80
//
// Purpose:
//
// LOG_SERIES_CDF_TEST tests LOG_SERIES_CDF.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 27 February 2007
//
// Author:
//
// John Burkardt
//
{
int i;
int seed = 123456789;
Console.WriteLine("");
Console.WriteLine("LOG_SERIES_CDF_TEST");
Console.WriteLine(" LOG_SERIES_CDF evaluates the Log Series CDF;");
Console.WriteLine(" LOG_SERIES_CDF_INV inverts the Log Series CDF.");
Console.WriteLine(" LOG_SERIES_PDF evaluates the Log Series PDF;");
const double a = 0.25E+00;
Console.WriteLine("");
Console.WriteLine(" PDF parameter A = " + a + "");
if (!LogSeries.log_series_check(a))
{
Console.WriteLine("");
Console.WriteLine("LOG_SERIES_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 = LogSeries.log_series_sample(a, ref seed);
double pdf = LogSeries.log_series_pdf(x, a);
double cdf = LogSeries.log_series_cdf(x, a);
int x2 = LogSeries.log_series_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 log_series_sample_test()
//****************************************************************************80
//
// Purpose:
//
// LOG_SERIES_SAMPLE_TEST tests LOG_SERIES_SAMPLE.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 27 February 2007
//
// Author:
//
// John Burkardt
//
{
const int SAMPLE_NUM = 1000;
int j;
int seed = 123456789;
int[] x = new int [SAMPLE_NUM];
Console.WriteLine("");
Console.WriteLine("LOG_SERIES_SAMPLE_TEST");
Console.WriteLine(" LOG_SERIES_MEAN computes the Log Series mean;");
Console.WriteLine(" LOG_SERIES_SAMPLE samples the Log Series distribution;");
Console.WriteLine(" LOG_SERIES_VARIANCE computes the Log Series variance.");
double a = 0.25E+00;
Console.WriteLine("");
Console.WriteLine(" PDF parameter A = " + a + "");
if (!LogSeries.log_series_check(a))
{
Console.WriteLine("");
Console.WriteLine("LOG_SERIES_SAMPLE_TEST - Fatal error!");
Console.WriteLine(" The parameters are not legal.");
return;
}
double mean = LogSeries.log_series_mean(a);
double variance = LogSeries.log_series_variance(a);
Console.WriteLine(" PDF mean = " + mean + "");
Console.WriteLine(" PDF variance = " + variance + "");
for (j = 0; j < SAMPLE_NUM; j++)
{
x[j] = LogSeries.log_series_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 + "");
}
