Journal
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Volume 45, Issue 9, Pages 3457-3475Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/03610918.2014.948189
Keywords
General entropy loss function; Poisson-exponential distribution; Progressive type-II censored data with Binomial removals; Squared error loss function; 62F10; 62F15
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In this article, we propose Maximum likelihood estimators (MLEs) and Bayes estimators of parameters of Poisson-exponential distribution (PED) under General entropy loss function (GELF) and Squared error loss function (SELF) for Progressive type-II censored data with binomial removals (PT-II CBRs). The MLEs and corresponding Bayes estimators are compared in terms of their risks based on simulated samples from PED. The proposed methodology is illustrated on a real dataset of ovarian cancer.
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