Example: The Cumulative Distribution Functions

import com.imsl.stat.*;

public class CdfEx1 {
    public static void main(String args[]) {
        double	x, prob, result, pin, qin;
        int     k, n;
        // Beta
        x =.5;
        pin = 12.;
        qin = 12.;
        result = Cdf.beta(x, pin, qin);
        System.out.println("beta(.5, 12., 12.) is "+result);
        
        // Inverse Beta
        x =.5;
        pin = 12.;
        qin = 12.;
        result = Cdf.inverseBeta(x, pin, qin);
        System.out.println("inversebeta(.5, 12., 12.) is "+result);
        
        // binomial
        k = 3;
        n = 5;
        pin = .95;
        result = Cdf.binomial(k, n, pin);
        System.out.println("binomial(3, 5, .95) is "+result);
        
        // Chi
        x = .15;
        n = 2;
        result = Cdf.chi(x, n);
        System.out.println("chi(.15, 2) is "+result);
        
        // Inverse Chi
        prob = .99;
        n = 2;
        result = Cdf.inverseChi(prob, n);
        System.out.println("inverseChi(.99, 2) is "+result);
    }
}

Output

beta(.5, 12., 12.) is 0.5000000000000016
inversebeta(.5, 12., 12.) is 0.4999999999999991
binomial(3, 5, .95) is 0.02259250000000004
chi(.15, 2) is 0.07225651367144711
inverseChi(.99, 2) is 9.210340371976306