Utilizing Bayesian inference in accelerated testing models under constant stress via ordered ranked set sampling and hybrid censoring with practical validation
Abstract This research investigates the application of the ordered ranked set sampling (ORSSA) procedure in constant-stress partially accelerated life-testing Pivot Tube (CSPALTE).The study adopts the assumption that the lifespan of a specific item under operational stress follows a half-logistic probability distribution.Through Bayesian estimation