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Estimation in an Exponentiated Half Logistic Distribution under Type-II Hybrid Censoring

Suk-Bok Kang, Eun-Hwa Choi, Hwa-Jung Lee


In this paper, we derive the maximum likelihood estimator (MLE) and the Bayes estimators of the shape parameter and scale parameter in an exponentiated half logistic distribution based on Type-ll hybrid censored samples. In the Bayesian estimation, we consider two types of loss functions, the squared error loss function (SELF) and the LINEX loss function (LLF). We compare the proposed estimators in the sense of the mean squared error (MSE)
through the Monte Carlo simulation for various censoring schemes.


Bayes estimator, exponentiated half logistic distribution, maximum likelihood estimator, Type-ll hybrid censored sample

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