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 |
UniformDistribution | Uniform probability distribution object |
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.