Uniform Distribution (Continuous)

Evaluate and generate random samples from continuous uniform distribution

Functions

makedist Create probability distribution object

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

`unifcdf`	Continuous uniform cumulative distribution function
`unifpdf`	Continuous uniform probability density function
`unifinv`	Continuous uniform inverse cumulative distribution function
`unifit`	Continuous uniform parameter estimates
`unifstat`	Continuous uniform mean and variance
`unifrnd`	Continuous uniform random numbers

Objects

UniformDistribution Uniform probability distribution object

Topics

Uniform Distribution (Continuous)

The uniform distribution (also called the rectangular distribution) is notable because it has a constant probability distribution function between its two bounding parameters.

Generate Random Numbers Using Uniform Distribution Inversion

This example shows how to generate random numbers using the uniform distribution inversion method.

Statistics and Machine Learning Toolbox Documentation

Support

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

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