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
.