com.numericalmethod.suanshu.analysis.function.special
Class GammaRegularizedP

java.lang.Object
  com.numericalmethod.suanshu.analysis.function.rn2r1.BivariateRealFunction
      com.numericalmethod.suanshu.analysis.function.special.GammaRegularizedP

All Implemented Interfaces:

Function, RealScalarFunction

public class GammaRegularizedP
extends BivariateRealFunction

This class represents the Regularized Incomplete Gamma P function P(s, x).

              γ(s,x)
 P(s, x) = ----------- = 1 - Q(s, x)
               Γ(s)
 

s ≥ 0, x ≥ 0

The R equivalent function is pgamma. E.g., pgamma(x, s, lower=TRUE).

See Also:

Wikipedia: Regularized Gamma functions and Poisson random variables

Nested Class Summary

Nested classes/interfaces inherited from interface com.numericalmethod.suanshu.analysis.function.Function

Function.EvaluationException

Constructor Summary

GammaRegularizedP()

Method Summary

double

evaluate(double s, double x) Evaluate P(s, x).

Methods inherited from class com.numericalmethod.suanshu.analysis.function.rn2r1.BivariateRealFunction

dimension4Domain, dimension4Range, evaluate

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GammaRegularizedP

public GammaRegularizedP()

Method Detail

evaluate

public double evaluate(double s,
                       double x)

Evaluate P(s, x).

Specified by:

evaluate in class BivariateRealFunction

Parameters:

s - s ≥ 0

x - x ≥ 0

Returns:

P(s, x)