E-Bayesian Inference for Exponential Transformed Inverse Rayleigh Distribution under Progressive Type-II Censoring with Binomial Removals
DOI:
https://doi.org/10.17713/ajs.v55i1.2091Abstract
In this paper, we consider the comparative analysis of Bayes and E-Bayes estimates for the newly developed exponential transformed inverse Rayleigh (ETIR) distribution under the symmetric and asymmetric loss function for the progressive Type-II censoring with binomial removals. The comparison between the proposed estimators have been drawn on the basis of the simulated risks. The study also examines the expected experiment time. The suitability of the model and proposed methodology have been through demonstrated using a precipitation data set.
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Copyright (c) 2026 Satya Prakash Mishra, Manoj Kumar, Sanjay Kumar Singh, Anurag Pathak, Sandeep Kumar
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