t Location-Scale Distribution

Fit, evaluate, and generate random samples from t location-scale distribution

Functions

Create `tLocationScaleDistribution` Object

`makedist`	Create probability distribution object
`fitdist`	Fit probability distribution object to data
`distributionFitter`	Open Distribution Fitter app

Work with `tLocationScaleDistribution` Object

`cdf`	Cumulative distribution function
`gather`	Gather properties of Statistics and Machine Learning Toolbox object from GPU
`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

Maximum Likelihood Estimation

`mle`	Maximum likelihood estimates
`mlecov`	Asymptotic covariance of maximum likelihood estimators

Objects

tLocationScaleDistribution t Location-Scale probability distribution object

Topics

t Location-Scale Distribution

The t location-scale distribution is useful for modeling data distributions with heavier tails (more prone to outliers) than the normal distribution.

Represent Cauchy Distribution Using t Location-Scale

This example shows how to use the t location-scale probability distribution object to work with a Cauchy distribution with nonstandard parameter values.