Negative Binomial Distribution

Fit parameters of the negative binomial distribution to data, evaluate the distribution or its inverse, generate pseudorandom samples

Functions

`makedist`	Create probability distribution object
`fitdist`	Fit probability distribution object to data
`distributionFitter`	Open Distribution Fitter app

`cdf`	Cumulative distribution function
`icdf`	Inverse cumulative distribution function
`iqr`	Interquartile range
`mean`	Mean of probability distribution
`median`	Median of probability distribution
`negloglik`	Negative loglikelihood of probability distribution
`paramci`	Confidence intervals for probability distribution parameters
`pdf`	Probability density function
`proflik`	Profile likelihood function for probability distribution
`random`	Random numbers
`std`	Standard deviation of probability distribution
`truncate`	Truncate probability distribution object
`var`	Variance of probability distribution

`nbincdf`	Negative binomial cumulative distribution function
`nbinpdf`	Negative binomial probability density function
`nbininv`	Negative binomial inverse cumulative distribution function
`nbinstat`	Negative binomial mean and variance
`nbinfit`	Negative binomial parameter estimates
`nbinrnd`	Negative binomial random numbers

Objects

NegativeBinomialDistribution Negative binomial distribution object

Topics

Negative Binomial Distribution

The negative binomial distribution models the number of failures before a specified number of successes is reached in a series of independent, identical trials.

Statistics and Machine Learning Toolbox Documentation

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Mastering Machine Learning: A Step-by-Step Guide with MATLAB

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