Java org.apache.commons.math3.distribution PoissonDistribution fields, constructors, methods, implement or subclass

Example usage for Java org.apache.commons.math3.distribution PoissonDistribution fields, constructors, methods, implement or subclass

Introduction

In this page you can find the methods, fields and constructors for org.apache.commons.math3.distribution PoissonDistribution.

The text is from its open source code.

int	DEFAULT_MAX_ITERATIONS Default maximum number of iterations for cumulative probability calculations.
double	DEFAULT_EPSILON Default convergence criterion.

	PoissonDistribution(RandomGenerator rng, double p, double epsilon, int maxIterations) Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
	PoissonDistribution(double p) Creates a new Poisson distribution with specified mean.
	PoissonDistribution(double p, double epsilon) Creates a new Poisson distribution with the specified mean and convergence criterion.
	PoissonDistribution(double p, int maxIterations) Creates a new Poisson distribution with the specified mean and maximum number of iterations.

double	cumulativeProbability(int x)
int	inverseCumulativeProbability(final double p) The default implementation returns #getSupportLowerBound() for p = 0 , #getSupportUpperBound() for p = 1 , and #solveInverseCumulativeProbability(double,int,int) for 0 < p < 1 .
double	probability(int x)
int	sample() Algorithm Description: For small means, uses simulation of a Poisson process using Uniform deviates, as described here.