% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/bivariate_laplace_residual.R
\name{sim_blt_residual}
\alias{sim_blt_residual}
\title{Monte-Carlo Simulation Study for the BLT Residual Estimator}
\usage{
sim_blt_residual(
  n_obs = 200,
  n_sim = 100,
  s1 = 1,
  s2 = 1,
  t1 = 0.3,
  t2 = 0.3,
  k1 = 1,
  k2 = 1,
  theta = 0.5,
  seed = 42L
)
}
\arguments{
\item{n_obs}{Sample size per replicate.}

\item{n_sim}{Number of simulation replicates.}

\item{s1, s2}{Laplace parameters.}

\item{t1, t2}{Truncation ages.}

\item{k1, k2, theta}{Gumbel parameters.}

\item{seed}{Random seed for reproducibility.}
}
\value{
A data frame with columns \code{component}, \code{true_value},
  \code{mean_est}, \code{bias}, \code{variance}, \code{mse}.
}
\description{
Evaluates the performance of \code{\link{np_blt_residual}} via repeated
simulation from the Gumbel bivariate exponential distribution and compares
estimates to the closed-form \code{\link{blt_residual_gumbel}} values.
Returns bias, variance, and mean squared error (MSE).
}
\examples{
sim_blt_residual(n_obs = 100, n_sim = 50, s1 = 1, s2 = 1,
                 t1 = 0.3, t2 = 0.3, k1 = 1, k2 = 1, theta = 0.5)

}
\references{
Jayalekshmi S., Rajesh G., Nair N.U. (2022), Section 6.
\doi{10.1080/03610926.2022.2085874}
}
\seealso{
\code{\link{np_blt_residual}}
}
