com.numericalmethod.suanshu.analysis.function.special.gamma

Class GammaRegularizedP

java.lang.Object

com.numericalmethod.suanshu.analysis.function.rn2r1.BivariateRealFunction

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

All Implemented Interfaces:

Function<Vector,java.lang.Double>, RealScalarFunction, java.io.Serializable

public class GammaRegularizedP
extends BivariateRealFunction

The Regularized Incomplete Gamma P function is defined as: \[ P(s,x) = \frac{\gamma(s,x)}{\Gamma(s)} = 1 - Q(s,x), s \geq 0, x \geq 0 \]

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

See Also:

Wikipedia: Regularized Gamma functions and Poisson random variables, Serialized Form

Nested Class Summary

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

Function.EvaluationException

Constructor Summary

Constructors

Constructor and Description
GammaRegularizedP()

Method Summary

Modifier and Type	Method and Description
double	evaluate(double s, double x) Evaluate P(s,x).

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

dimensionOfDomain, dimensionOfRange, 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)