Multinomial Distribution

Evaluate the multinomial distribution or its inverse, generate pseudorandom samples

Statistics and Machine Learning Toolbox™ offers multiple ways to work with the multinomial distribution.

Create a MultinomialDistribution object and use MultinomialDistribution object functions.
Use distribution-specific functions with specified distribution parameters. The functions can accept parameters of multiple multinomial distributions.

To learn about the multinomial distribution, see Multinomial Distribution.

Functions

makedist Create probability distribution object

`cdf`	Cumulative distribution function
`icdf`	Inverse cumulative distribution function
`iqr`	Interquartile range of probability distribution
`mean`	Mean of probability distribution
`median`	Median of probability distribution
`pdf`	Probability density function
`plot`	Plot probability distribution object (Since R2022b)
`random`	Random numbers
`std`	Standard deviation of probability distribution
`truncate`	Truncate probability distribution object
`var`	Variance of probability distribution

`mnpdf`	Multinomial probability density function
`mnrnd`	Multinomial random numbers

MultinomialDistribution Multinomial probability distribution object

Multinomial Distribution
The multinomial distribution models the probability of each combination of successes in a series of independent trials.
Multinomial Probability Distribution Objects
This example shows how to generate random numbers, compute and plot the pdf, and compute descriptive statistics of a multinomial distribution using probability distribution objects.
Multinomial Probability Distribution Functions
This example shows how to generate random numbers and compute and plot the pdf of a multinomial distribution using probability distribution functions.