E-Bayesian estimation for the Lomax distribution based on type-II censored data |
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Institution: | Department of Statistics, Faculty of Science, King Abdul Aziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia |
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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. |
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Keywords: | E-Bayes estimation Bayes estimation Lomax distribution Type-II censoring Balanced squared error loss function Monte Carlo simulation |
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