negativeBinomial

Probability mass function
Distribution
Mean
Variance

The Negative Binomial distribution is a discrete distribution bounded on the low side at 0 and unbounded on the high side. The Negative Binomial distribution gives the number of failures before the nth success in a sequence of independent Bernoulli trials with probability p of success on each trial.

The Negative Binomial distribution has many uses; some occur because it provides a good approximation for the sum or mixing of other discrete distributions. By itself, it is used to model accident statistics, birth-and-death processes, market research and consumer expenditure, lending library data, biometrical data, and many others.

Samples

negativeBinomial(double p, double n)

Description

Generates a sample of the Negative Binomial distribution.

Parameters

Name	Type	Description
p	double	probability of success on each trial
n	double	number of desired successes

Result

Type	Description
double	the generated sample

negativeBinomial(double p, double n, java.util.Random r)

Description

Generates a sample of the Negative Binomial distribution using the specified random number generator.

Parameters

Name	Type	Description
p	double	probability of success on each trial
n	double	number of desired successes
r	java.util.Random	the random number generator

Result

Type	Description
double	the generated sample

This document includes content from the Stat::Fit User's Manual. Copyright 2016 Geer Mountain Software Corp.