Example: The Cumulative Distribution Functions

Various cumulative distribution functions are exercised. Their use in this example typifies the manner in which other functions in the Cdf class would be used. 
using System;
using Imsl.Stat;

public class CdfEx1
{
    public static void  Main(String[] args)
    {
        double x, prob, result;
        int p, q, k, n;
        // Beta
        x = .5;
        p = 12;
        q = 12;
        result = Cdf.Beta(x, p, q);
        Console.Out.WriteLine("Cdf.Beta(.5, 12, 12) is " + result);
        

        // binomial
        k = 3;
        n = 5;
        prob = .95;
        result = Cdf.Binomial(k, n, prob);
        Console.Out.WriteLine("Cdf.Binomial(3, 5, .95) is " + result);
        
        // Chi
        x = .15;
        n = 2;
        result = Cdf.Chi(x, n);
        Console.Out.WriteLine("Cdf.Chi(.15, 2) is " + result);
        
    }
}

Output

Cdf.Beta(.5, 12, 12) is 0.500000000000002
Cdf.Binomial(3, 5, .95) is 0.0225925
Cdf.Chi(.15, 2) is 0.0722565136714471
Link to C# source.