Bayesian analysis of the lifetime performance index on the basis of progressively censored Weibull observations. Issue 2 (4th March 2022)

• Record Type: Journal Article
• Authors: Ahmadi, Mohammad Vali; Doostparast, Mahdi
• Is Part Of: Quality technology & quantitative management. Volume 19:Issue 2(2022)
• Page Start: 187
• Page End: 214
• Publication Date: 2022-03-04
• Subjects: Bayesian analysis -- hypothesis testing -- lifetime performance index -- progressive censoring -- quality control -- sensitivity analysis; 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: 10.1080/16843703.2021.1963032
• Languages: English
• ISSNs: 1684-3703

Abstract

ABSTRACT: In manufacturing industries, indices such as the lifetime performance index ( C L ) are utilized to assess whether products' quality meets the required level. This article deals with the Bayesian inferences about C L on the basis of progressively censored data when the product's lifetime follows the Weibull distribution. The Bayesian analysis is based on a conjugate prior for the scale parameter and a discrete prior for the shape parameter of the distribution under consideration. Two illustrative examples are studied to assess the sensitivity of results to the prior parameters and the underlying distribution of the observed data. Finally, a simulation study is conducted to carry out the performance of the obtained results.