Journal of Statistics Applications & Probability
Bayesian Estimation of the Parameters of Exponentiated Exponential Distribution under Progressive Interval Type-I Censoring Scheme with Binomial Removals
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.
Digital Object Identifier (DOI)
"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:
1, Article 6.
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol6/iss1/6