% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/bivariate_laplace_reversed.R
\name{blt_reversed_power}
\alias{blt_reversed_power}
\title{Bivariate Laplace Transform of Reversed Residual Lives — Power Distribution}
\usage{
blt_reversed_power(s1, t1, t2, p1 = 1, p2 = 1, theta = 0)
}
\arguments{
\item{s1}{Positive Laplace parameter.}

\item{t1, t2}{Positive truncation times.}

\item{p1, p2}{Positive shape parameters.}

\item{theta}{Association parameter, \eqn{0 \le \theta \le 1}.}
}
\value{
Named numeric vector \code{(G1, reversed_hazard_h1)}.
}
\description{
Computes the \eqn{G_1} function for the bivariate power distribution:
\deqn{G_1(t_1,t_2) =
  \frac{\int_0^{t_1} e^{-s_1 x_1}
    x_1^{p_1+\theta\log t_2}\,dx_1}{e^{-s_1 t_1}\, t_1^{p_1+\theta\log t_2}}}
evaluated numerically.
}
\examples{
blt_reversed_power(s1 = 1, t1 = 0.5, t2 = 0.5, p1 = 2, p2 = 2, theta = 0.3)

}
\references{
Jayalekshmi S., Rajesh G. — IJRQSE, Example 2.
}
