Simulation Techniques for Strength Component Partially Accelerated to Analyze Stress–Strength Model

Based on independent progressive type-II censored samples from two-parameter Burr-type XII distributions, various point and interval estimators of δ=P(Y<X) were proposed when the strength variable was subjected to step–stress partially accelerated life test. The computed maximum likelihood Bayesian under symmetric asymmetric loss functions. estimations constructed approximate, bootstrap-P, bootstrap-T confidence intervals, a credible interval. A Markov Chain Monte Carlo approach using Gibbs sampling designed derive estimate δ. mean square error, bias, length, coverage probability, results numerical analysis performance estimates simulations quite satisfactory. To support theoretical component, an empirical investigation based two actual data sets carried out.