Affiliation:
1. School of Mathematics and Statistics, Beijing Jiaotong University, Beijing 100044, China
Abstract
This paper explores the likelihood and Bayesian estimation of the stress–strength reliability parameter (R) based on a lower record ranked set sampling scheme from the generalized Rayleigh distribution. Maximum likelihood and Bayesian estimators as well as confidence intervals of R are derived and their properties are studied. Furthermore, two parametric bootstrap confidence intervals are introduced in the paper. A comparative simulation study is conducted to assess the effectiveness of these four confidence interval methodologies in estimating R. The application of the methods is demonstrated using real data on fiber strength to showcase their practicability and relevance in the industry.
Funder
Beijing Jiaotong University Training Program of Innovation and Entrepreneurship for Undergraduates
Development Project of China Railway
Fund of China Academy of Railway Sciences Corporation Limited
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