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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 n-th 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, biometric data, and many others.
- Description
- Generates a sample of the negative binomial distribution.
- Parameters
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Name Type of value Description p double Probability of success on each trial. n double Number of desired successes. - Result
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Type Description double The generated sample.
- Description
- Generates a sample of the negative binomial distribution using the specified random number generator.
- Parameters
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Name Type of value Description p double Probability of success on each trial. n double Number of desired successes. r java.util.Random The random number generator. - Result
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Type Description double The generated sample.
This document includes content from the “Stat::Fit User’s Manual”. Copyright 2016 Geer Mountain Software Corp.
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