robust (version 0.4-18.2)

weibullRob: Robust Estimation of Weibull Distribution Parameters

Description

Robust estimation of Weibull distribution parameters.

Usage

weibullRob(x, estim = c("M", "tdmean"), control = weibullRob.control(estim, …), …)

Arguments

x

a numeric vector containing the sample.

estim

a character string specifying which estimator to use.

control

a list of control parameters appropriate for the estimator in estim.

control parameters may also be given here.

Value

a list of class “fitdstn” containing the following elements:

estimate

a named numeric vector containing the parameter estimates.

sd

a named numeric vector containing the standard deviations of the parameter estimates.

vcov

a numeric matrix containing the variance-covariance matrix of the estimated parameter vector.

mu

a single numeric value containing an estimate of the mean.

V.mu

a single numeric value containing the variance of the estimated mean.

control

a list containing the control parameters used by the estimator.

The print method displays the estimated parameters and their standard errors (in parentheses).

See Also

weibullRob.control, fitdstnRob.