Documentation

Rayleigh Distribution

Fit, evaluate, and generate random samples from Rayleigh distribution

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

`raylcdf`	Rayleigh cumulative distribution function
`raylpdf`	Rayleigh probability density function
`raylinv`	Rayleigh inverse cumulative distribution function
`raylstat`	Rayleigh mean and variance
`raylfit`	Rayleigh parameter estimates
`raylrnd`	Rayleigh random numbers

Objects

RayleighDistribution Rayleigh probability distribution object

Topics

Rayleigh Distribution

The Rayleigh distribution is a special case of the Weibull distribution with applications in communications theory.

Statistics and Machine Learning Toolbox Documentation

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