Bayesian and non-Bayesian inference for a general family of distributions based on simple step-stress life test using TRV model under type II censoring

• Published in: Sequential analysis Vol. 42; no. 4; pp. 349 - 370
• Main Authors: Dutta, Subhankar, Sultana, Farha, Kayal, Suchandan
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 02.10.2023; Taylor & Francis Ltd
• Subjects: Bayes estimate; Bayesian analysis; Confidence intervals; Fisher information; HPD credible interval; Lehmann family of distributions; Markov chains; Mathematical models; maximum likelihood estimate; Maximum likelihood estimators; MCMC method; Model testing; Normal stress; Parameters; Parametric statistics; Random variables; simple step-stress life test; Statistical inference; TRV model

In this article, we consider the parametric inference, using Type II censored data, based on the tampered random variable (TRV) model for simple step-stress life testing (SSLT). We have taken the members of the Lehmann family of distributions as the baseline lifetimes of the experimental units under...