Uniform Distribution (Continuous)
Statistics and Machine Learning Toolbox™ offers several ways to work with the uniform distribution.
Create a probability distribution object
UniformDistribution
by specifying parameter values. Then, use object functions to evaluate the distribution, generate random numbers, and so on.Use distribution-specific functions with specified distribution parameters. The distribution-specific functions can accept parameters of multiple uniform distributions.
Use generic distribution functions (
cdf
,icdf
,pdf
,random
) with a specified distribution name ('Uniform'
) and parameters.
To learn about the uniform distribution, see Uniform Distribution (Continuous).
Objects
UniformDistribution | Uniform probability distribution object |
Apps
Probability Distribution Function | Interactive density and distribution plots |
Functions
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.