% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/statistics.R
\name{stat_edf_censored}
\alias{stat_edf_censored}
\title{Compute EDF Statistics for Type-II Censored Samples}
\usage{
stat_edf_censored(u_cens, n, u_ms = NULL, u_malmquist = NULL)
}
\arguments{
\item{u_cens}{Numeric vector of order statistics u_1:n < ... < u_r:n in (0, 1).}

\item{n}{Total sample size (n >= length(u_cens)).}

\item{u_ms}{Optional pre-computed Michael & Schucany transformed sample.}

\item{u_malmquist}{Optional pre-computed Malmquist transformed sample.}
}
\value{
A named numeric vector of 9 statistics: \code{D_rn}, \code{G_rn}, \code{T_rn},
\code{W2_star_rn}, \code{W2_rn}, \code{A2_rn}, \code{U2_rn}, \code{TA2_r}, and \code{star_TA2_r}.
}
\description{
Computes the nine EDF test statistics described in Lin, Huang & Balakrishnan (2008).
}
\examples{
u <- c(0.03, 0.06, 0.10, 0.11, 0.13)
stat_edf_censored(u, n = 10)
}
