Exponential Distribution

Fit, evaluate, and generate random samples from exponential distribution

Functions

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

`cdf`	Cumulative distribution function
`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

`expcdf`	Exponential cumulative distribution function
`exppdf`	Exponential probability density function
`expinv`	Exponential inverse cumulative distribution function
`explike`	Exponential negative log-likelihood
`expstat`	Exponential mean and variance
`expfit`	Exponential parameter estimates
`exprnd`	Exponential random numbers

Objects

ExponentialDistribution Exponential probability distribution object

Topics

Exponential Distribution

The exponential distribution is special because of its utility in modeling events that occur randomly over time. The main application area is in studies of lifetimes.

Statistics and Machine Learning Toolbox Documentation

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