Function Reference: fitdist

statistics: pd = fitdist (x, distname)
statistics: pd = fitdist (x, distname, Name, Value)
statistics: [pdca, gn, gl] = fitdist (x, distname, "By", groupvar)
statistics: [pdca, gn, gl] = fitdist (x, distname, "By", groupvar, Name, Value)

Create probability distribution object.

pd = fitdist (x, distname) creates a probability distribution distribution object by fitting the distribution specified by distname to the data in vector x.

pd = fitdist (x, distname, Name, Value) creates the probability distribution object with additional options specified by one or more Name-Value pair arguments listed below.

NameValue
"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.

[pdca, gn, gl] = fitdist (x, distname, "By", groupvar) creates probability distribution objects by fitting the distribution specified by distname to the data in x based on the grouping variable groupvar. It returns a cell array of fitted probability distribution objecpdcapdca, a cell array of group labels, gn, and a cell array of grouping variable levels, gl.

[pdca, gn, gl] = fitdist (x, distname, "By", groupvar, Name, Value) returns the same output arguments using additional options specified by one or more Name-Value pair arguments mentioned above.

See also: fitdist

Source Code: fitdist