Assessing the effect of E-Bayesian inference for Poisson inverse exponential distribution parameters under different loss functions and its application

Anurag Pathak, Manoj Kumar, Sanjay Kumar Singh and Umesh Singh

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 17, 5763-5805

Abstract: This paper present E-Bayesian and Bayesian estimators of parameters of Poisson inverse exponential distribution (PIED) under Squared error loss function (SELF), General entropy loss function (GELF) and Linear Exponential loss function (LINEX) for progressive type-II censored data with binomial removals (PT-II CBRs). The E-Bayesian and corresponding Bayesian estimators are compared in terms of their risks based on simulated samples from PIED. The proposed methodology is applied to survival time of multiple myeloma patients data.

Date: 2022
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DOI: 10.1080/03610926.2020.1847293

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