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Abstract

In this article a heterogeneous population is represented by a mixture of two generalized exponential distributions. Using the two-sample prediction technique, Bayesian prediction bounds for future order statistics are obtained based on type II censored and complete data. A numerical example is given to illustrate the procedures and the accuracy of the prediction intervals is investigated via extensive Monte Carlo simulation.

Keywords

Heterogeneous population mixture of two Generalized exponential distribution type II censored sample complete sample Bayesian prediction life testing model Monte Carlo simulation

Article Details

Author Biographies

Mohamed Mohmoud Mohamed, Department of Mathematics Faculty of Science, Ain Shams University Cairo, Egypt

Prof., department of statistics, faculty of science, Ain Shams University,Cairo,Egypt

Elsayed Saleh, Department of Statistics Faculty of Science, King Abdul-Aziz University Jeddah, Saudi Arabia

department of statistics, faculty of science, King Abdul-Aziz University,Jeddah,Saudi Arabia

Shaymaa Mohamed Helmy, Department of Mathematics Faculty of Science, Ain Shams University Cairo, Egypt

Teaching assistant, department of statistics, faculty of science, Ain Shams University,Cairo,Egypt
How to Cite
Mohamed, M. M., Saleh, E., & Helmy, S. M. (2014). Bayesian Prediction under a Finite Mixture of Generalized Exponential Lifetime Model. Pakistan Journal of Statistics and Operation Research, 10(4), 417-433. https://doi.org/10.18187/pjsor.v10i4.620