Estimation of stress–strength reliability based on censored data and its evaluation for coating processes. Issue 3 (4th May 2022)

• Record Type: Journal Article
• Authors: Asadi, Saeid; Panahi, Hanieh
• Is Part Of: Quality technology & quantitative management. Volume 19:Issue 3(2022)
• Page Start: 379
• Page End: 401
• Publication Date: 2022-05-04
• Subjects: Adaptive Type II progressive hybrid censoring -- bayesian inference -- Monte Carlo simulation -- stress–strength reliability -- surface wettability; Quality control -- Periodicals; Quality control -- Statistical methods -- Periodicals; Industrial management -- Periodicals; Industrial management; Management -- Research -- Methodology -- Periodicals; Qualitative research -- Periodicals; Management; Quality control; Quality control -- Statistical methods; Periodicals; 658.00721
• DOI: 10.1080/16843703.2021.2001129
• Languages: English
• ISSNs: 1684-3703

Abstract

ABSTRACT: In this paper, the classical and Bayesian estimation procedures for stress–strength reliability parameter (SSRP) have been considered based on two independent adaptive Type II progressive hybrid censored samples from inverted exponentiated Rayleigh distributions with different shape parameters. The maximum likelihood estimate of SSRP and its asymptotic confidence interval are attained. The Bayes estimate of SSRP is obtained under two loss functions using the Lindley's approximation and Metropolis–Hastings algorithm. The highest posterior density credible interval is successively constructed. The behavior of suggested estimators is assessed using a simulation study. Finally, the droplet splashing data under two surface wettabilities are considered to illustrate the application of the stress–strength reliability model to the engineering data.