Stress-strength reliability of the proportional hazard rate models under Type-I progressively hybrid censored samples
نویسندگان
1 Department of Statistics, Yazd University, Yazd, Iran
2 Department of Statistics, Yazd University, Yazd, Iran
doi
10.22034/jsmta.2025.22030.1151چکیده
This study focuses on estimating the stress-strength parameter R, utilizing two independent Type-I progressively hybrid censored samples derived from populations governed by the proportional hazard rate model. The maximum likelihood and Bayes estimators are obtained under some well-known loss functions and the assumption that the priors are independently gamma-distributed. The asymptotic confidence interval and Bayesian and highest posterior density credible intervals are also presented. A Monte Carlo simulation study is used to evaluate the performances of the obtained point estimators and confidence and credible intervals. Finally, a pair of real data sets is analyzed for illustrative purposes.