NegativeBinomialDistribution Class

[SerializableAttribute]
public class NegativeBinomialDistribution : DiscreteDistribution

<SerializableAttribute>
Public Class NegativeBinomialDistribution
	Inherits DiscreteDistribution

[SerializableAttribute]
public ref class NegativeBinomialDistribution : public DiscreteDistribution

[<SerializableAttribute>]
type NegativeBinomialDistribution = 
    class
        inherit DiscreteDistribution
    end

Inheritance

Object  →  Distribution  →  DiscreteDistribution  →  NegativeBinomialDistribution

The negative binomial distribution models the number of failures before a specified number of successes in a series of Bernoulli trials. A Bernoulli trial is an experiment with two possible outcomes, labeled 'success' and 'failure,' where the probability of success has a fixed value for all trials.

A negative binomial distribution has two parameters: the NumberOfTrials and the ProbabilityOfSuccess of an individual trial.

In jury selection, the total number of candidates before 12 jurors have been selected has a negative binomial distribution.

When playing a video game where the probability of completing a level is constant, the total number of levels completed before the three lives are used up has a negative binomial distribution.

Reference