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 , 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 fminsearchfunction. | 
Source Code: mle