Bayesian Estimation of the Parameters of Exponentiated Exponential Distribution under Progressive Interval Type-I Censoring Scheme with Binomial Removals

Authors

Arun Kaushik, Department of Statistics and DST-CIMS, Banaras Hindu University, Varanasi-221 005, IndiaFollow

Author Country (or Countries)

India

Abstract

In this article, we consider the problem of point and interval estimation of the parameters of exponentiated exponential distribution (EED) under progressive type-I interval (PTII) censoring scheme with random removals. Maximum likelihood, expectation maximization and Bayesian procedures have been developed for the estimation of parameters of the EED, based on a PTII censored sample. Twp real examples has been considered to illustrate the applicability of the proposed methodology for the considered censoring scheme. Further, we have compared the performances of the proposed estimators under PTII censoring with complete sample case.

Suggested Reviewers

N/A

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/jsap/060106

Recommended Citation

Kaushik, Arun (2017) "Bayesian Estimation of the Parameters of Exponentiated Exponential Distribution under Progressive Interval Type-I Censoring Scheme with Binomial Removals," Journal of Statistics Applications & Probability: Vol. 6: Iss. 1, Article 6.
DOI: http://dx.doi.org/10.18576/jsap/060106
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol6/iss1/6