E-Bayesian estimation for the Lomax distribution based on type-II censored data | ||||
Journal of the Egyptian Mathematical Society | ||||
Volume 22, Issue 3, October 2014, Page 489-495 PDF (464.92 K) | ||||
Document Type: Original Article | ||||
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Author | ||||
Hassan M. Okasha | ||||
Department of Statistics, Faculty of Science, King Abdul Aziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia | ||||
Abstract | ||||
This paper is concerned with using the E-Bayesian method for computing estimates of the unknown parameter and some survival time parameters e.g. reliability and hazard functions of Lomax distribution based on type-II censored data. These estimates are derived based on a conjugate prior for the parameter under the balanced squared error loss function. A comparison between the new method and the corresponding Bayes and maximum likelihood techniques is conducted using the Monte Carlo simulation. | ||||
Keywords | ||||
E-Bayes estimation; Bayes estimation; Lomax distribution; Type-II censoring; Balanced squared error loss function; Monte Carlo simulation | ||||
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