Reliability Analysis of Weibull Distribution under Unified Progressive Hybrid Censoring in Partially Accelerated Life Tests


== Abstract ==

<p>This study focuses on estimating reliability for the Weibull distribution
within the framework of constant-stress partially accelerated life tests,
incorporating the unified Type-I progressive hybrid censoring scheme
that has not been previously examined. The unknown parameters of the
Weibull model, including acceleration factors and key reliability measures
such as the reliability function and hazard rate function under normal use
conditions, are estimated. The maximum likelihood method is used to
obtain point estimates and approximate confidence intervals. Additionally, a Bayesian approach based on Markov Chain Monte Carlo sampling
is applied to compute point estimates and Bayesian credible intervals,
assuming a squared error loss function. A simulation study is conducted
to compare the performance of the estimators using criteria such as mean
squared error, interval width, and coverage probability. Finally, two real-world data sets from accelerated life testing are analyzed to illustrate the
practical usefulness of the proposed methods.</p>

== Document ==
<pdf>Media:Review_361464043566_4672_149. TSP_RIMNI_79283.pdf</pdf>