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\name{fitdstnRob}
\alias{fitdstnRob}
\title{Robust Fitting of Univariate Distributions}
\description{
Robust Fitting of Univariate Distributions.
}
\usage{
fitdstnRob(x, densfun, \dots)
}
\arguments{
\item{x}{A numeric vector containing the sample.}
\item{densfun}{a character string naming the
distribution. Distributions \sQuote{gamma}, \sQuote{lognormal}, and
\sQuote{weibull} are recognized.}
\item{\dots}{additional arguments are passed to the fitting functions.}
}
\value{
a list with class \dQuote{fitdstn} containing the following elements:
\item{estimate}{a named numeric vector containing the parameter estimates.}
\item{sd}{a named numeric vector containing the standard deviations of the parameter estimates.}
\item{vcov}{a numeric matrix containing the variance-covariance matrix of the estimated parameter vector.}
\item{mu}{a single numeric value containing an estimate of the mean.}
\item{V.mu}{a single numeric value containing the variance of the estimated mean.}
\item{control}{a list containing the control parameters used by the estimator.}
\item{call}{the matched call.}
\item{densfun}{the character string \code{densfun} provided in the arguments.}
\item{x}{the data provided in \code{x}.}
The \code{print} method displays the estimated parameters and their standard errors (in parentheses).
}
\seealso{
\code{\link{gammaRob}}, \code{\link{lognormRob}},
\code{\link{weibullRob}}.
The classical counterparts, see \code{\link{fitdstn}}.
}
\keyword{robust}
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