On Parameters Estimation of Lomax Distribution under General Progressive Censoring. (5th June 2013)

• Record Type: Journal Article
• Authors: Al-Zahrani, Bander; Al-Sobhi, Mashail
• Other Names: Grall Antoine Academic Editor.
• Is Part Of: Journal of quality and reliability engineering. Volume 2013(2013)
• Publication Date: 2013-06-05
• Subjects: Reliability (Engineering) -- Periodicals; Engineering -- Quality control -- Periodicals; Failure analysis (Engineering) -- Periodicals; Engineering -- Quality control; Failure analysis (Engineering); Reliability (Engineering); Electronic journals; Periodicals; 620.0045
• DOI: 10.1155/2013/431541
• Languages: English
• ISSNs: 2314-8055

Abstract

Abstract : We consider the estimation problem of the probabilityS = P ( Y < X ) for Lomax distribution based on general progressive censored data. The maximum likelihood estimator and Bayes estimators are obtained using the symmetric and asymmetric balanced loss functions. The Markov chain Monte Carlo (MCMC) methods are used to accomplish some complex calculations. Comparisons are made between Bayesian and maximum likelihood estimators via Monte Carlo simulation study.