Weibull parameter estimates

`[___] = wblfit(`

specifies optimization options for the iterative algorithm `x`

,`alpha`

,`censoring`

,`freq`

,`options`

)`wblfit`

to
use to compute maximum likelihood estimates (MLEs) with censoring. Create
`options`

by using the function `statset`

.

You can pass in `[]`

for `alpha`

,
`censoring`

, and `freq`

to use their default
values.

`wblfit`

is a function specific to Weibull distribution.
Statistics and Machine Learning Toolbox™ also offers the generic functions `mle`

, `fitdist`

, and `paramci`

and the **Distribution Fitter** app, which support various
probability distributions.

`mle`

returns MLEs and the confidence intervals of MLEs for the parameters of various probability distributions. You can specify the probability distribution name or a custom probability density function.Create a

`WeibullDistribution`

probability distribution object by fitting the distribution to data using the`fitdist`

function or the**Distribution Fitter**app. The object properties`a`

and`b`

store the parameter estimates. To obtain the confidence intervals for the parameter estimates, pass the object to`paramci`

.