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.
Okasha, H. (2014). E-Bayesian estimation for the Lomax distribution based on type-II censored data. Journal of the Egyptian Mathematical Society, 22(3), 489-495.
MLA
Hassan M. Okasha. "E-Bayesian estimation for the Lomax distribution based on type-II censored data", Journal of the Egyptian Mathematical Society, 22, 3, 2014, 489-495.
HARVARD
Okasha, H. (2014). 'E-Bayesian estimation for the Lomax distribution based on type-II censored data', Journal of the Egyptian Mathematical Society, 22(3), pp. 489-495.
VANCOUVER
Okasha, H. E-Bayesian estimation for the Lomax distribution based on type-II censored data. Journal of the Egyptian Mathematical Society, 2014; 22(3): 489-495.
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