poisstat

Poisson mean and variance

Syntax

m = poisstat(lambda)

[m,v] = poisstat(lambda)

Description

m = poisstat(lambda) returns the mean for the Poisson distribution with the rate parameter lambda.

[m,v] = poisstat(lambda) also returns the variance for the distribution.

Examples

Compute Mean and Variance

Compute the mean and variance of a Poisson distribution with the rate parameter lambda.

lambda = 3;
[mean,variance] = poisstat(lambda)

mean = 
3

variance = 
3

Input Arguments

lambda — Rate parameter

positive scalar | array of positive scalar

Rate parameter of the Poisson distribution, specified as a positive scalar or an array of positive scalars.

Data Types: single | double

Output Arguments

m — Mean

numeric scalar | array of numeric scalars

Mean for the Poisson distribution, returned as a numeric scalar or an array of numeric scalars. m is the same size as lambda. Each element in m is the mean of the Poisson distribution specified by the corresponding element in lambda.

The mean of the Poisson distribution is lambda.

v — Variance

numeric scalar | array of numeric scalars

Variance for the Poisson distribution, returned as a numeric scalar or an array of numeric scalars. v is the same size as lambda. Each element in v is the variance of the Poisson distribution specified by the corresponding element in lambda.

The variance of the Poisson distribution is lambda.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

This function fully supports GPU arrays. For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).

Version History

Introduced before R2006a