Half-Normal Distribution

Fit, evaluate, and generate random samples from half-normal distribution

Statistics and Machine Learning Toolbox™ offers multiple ways to work with the half-normal distribution.

Create a HalfNormalDistribution object and use HalfNormalDistribution object functions.
Use the generic distribution functions with the specified distribution name "Half Normal" and corresponding parameters.

To learn about the half-normal distribution, see Half-Normal Distribution.

Functions

`makedist`	Create probability distribution object
`fitdist`	Fit probability distribution object to data

`cdf`	Cumulative distribution function
`gather`	Gather properties of Statistics and Machine Learning Toolbox object from GPU
`icdf`	Inverse cumulative distribution function
`iqr`	Interquartile range of probability distribution
`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
`plot`	Plot probability distribution object (Since R2022b)
`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

`cdf`	Cumulative distribution function
`icdf`	Inverse cumulative distribution function
`pdf`	Probability density function
`random`	Random numbers
`mle`	Maximum likelihood estimates

HalfNormalDistribution Half-normal probability distribution object

Fit probability distributions to data

Half-Normal Distribution
The half-normal distribution is a special case of the folded normal and truncated normal distributions.