Bayes And Empirical Bayes Estimators based on Generalized Half Logistic Records Data

Authors

Reza Azimi, Department of Statistics, Parsabad Moghan Branch, Islamic Azad University, Parsabad Moghan, IranFollow
Faramarz Azimi Sarikhanbaglu

Author Country (or Countries)

Iran

Abstract

This study considers the estimation problem for the parameter and reliability function of Generalized Half logistic distribution under record Data. We use the maximum likelihood and Bayesian procedures to obtain the estimators of parameter and reliability function of Generalized Half logistic distribution. We also obtain the Empirical Bayesian Estimators for the parameter and reliability function of Generalized Half logistic distribution and considered the problem of predicting future record in a Bayesian and Empirical Bayesian approaches. Comparisons are made between the different estimators based on a simulation study.

Suggested Reviewers

N/A

Recommended Citation

Azimi, Reza and Azimi Sarikhanbaglu, Faramarz (2014) "Bayes And Empirical Bayes Estimators based on Generalized Half Logistic Records Data," Journal of Statistics Applications & Probability: Vol. 3: Iss. 2, Article 5.
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol3/iss2/5