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Bayesian Prediction based on an Adaptive Type-II Progressive Censored Data from the Generalized Exponential Distribution

by M. M. Mohie El-Din, M. M. Amein, A. R. Shafay, S. Mohamed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 46
Year of Publication: 2018
Authors: M. M. Mohie El-Din, M. M. Amein, A. R. Shafay, S. Mohamed
10.5120/ijca2018917032

M. M. Mohie El-Din, M. M. Amein, A. R. Shafay, S. Mohamed . Bayesian Prediction based on an Adaptive Type-II Progressive Censored Data from the Generalized Exponential Distribution. International Journal of Computer Applications. 179, 46 ( Jun 2018), 1-6. DOI=10.5120/ijca2018917032

@article{ 10.5120/ijca2018917032,
author = { M. M. Mohie El-Din, M. M. Amein, A. R. Shafay, S. Mohamed },
title = { Bayesian Prediction based on an Adaptive Type-II Progressive Censored Data from the Generalized Exponential Distribution },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2018 },
volume = { 179 },
number = { 46 },
month = { Jun },
year = { 2018 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number46/29481-2018917032/ },
doi = { 10.5120/ijca2018917032 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:58:28.250133+05:30
%A M. M. Mohie El-Din
%A M. M. Amein
%A A. R. Shafay
%A S. Mohamed
%T Bayesian Prediction based on an Adaptive Type-II Progressive Censored Data from the Generalized Exponential Distribution
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 46
%P 1-6
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, based on an observed adaptive Type-II progressively censored sample from the generalized exponential distribution, the problem of predicting the order statistics from a future unobserved sample from the same distribution is discussed. The description of the model of the adaptive Type-II progressively censored sample from the generalized exponential distribution is presented. Also, Markov chain Monte Carlo method is applied to construct the Bayesian prediction intervals of the order statistics from a future sample from the same distribution. Finally, results from simulation studies assessing the performance of our proposed method are included and then an illustrative example using real data set is presented for illustrating all the inferential procedures developed here.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Type-II progressive censored scheme Bayesian prediction Generalized exponential distribution Markov chain Monte Carlo technique

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