### Function Reference: `mle`

statistics: phat = mle (x)
statistics: phat = mle (x, Name, Value)
statistics: [phat, pci] = mle (…)

Compute maximum likelihood estimates.

`phat = mle (x)` returns the maximum likelihood estimates (MLEs) for the parameters of a normal distribution using the sample data in x, which must be a numeric vector of real values.

`phat = mle (x, Name, Value)` returns the MLEs with additional options specified by `Name-Value` pair arguments listed below.

Name |  | Value
--- | --- | ---
`"distribution"` |  | A character vector specifying the distribution type for which to estimate parameters.
`"Ntrials"` |  | A scalar specifying the number of trials for the corresponding element of x for the binomial distribution.
`"theta"` |  | A scalar specifying the location parameter for the generalized Pareto distribution.
`"mu"` |  | A scalar specifying the location parameter for the half-normal distribution.
`"censoring"` |  | A vector of the same size as x indicating censored data in x. By default it is `censor = zeros (size (x))`.
`"frequency"` |  | A vector of nonnegative integer counts of the same size as x used as frequency observations. By default it is `freq = ones (size (x))`.
`"alpha"` |  | A scalar in the range (0,1), as the significance level for the confidence interval pci. By default it is 0.05 corresponding to 95% confidence intervals.
`"options"` |  | A structure specifying the control parameters for the iterative algorithm used to compute ML estimates with the `fminsearch` function.

See also: fitdist, makedist

Source Code: mle