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Bayesian Estimation and Prediction for the Maxwell Failure Distribution Based on Type II Censored Data 被引量:1
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作者 Anwar M. Hossain Gabriel Huerta 《Open Journal of Statistics》 2016年第1期49-60,共12页
We present Bayes estimators, highest posterior density (HPD) intervals, and maximum likelihood estimators (MLEs), for the Maxwell failure distribution based on Type II censored data, i.e. using the first r lifetimes f... We present Bayes estimators, highest posterior density (HPD) intervals, and maximum likelihood estimators (MLEs), for the Maxwell failure distribution based on Type II censored data, i.e. using the first r lifetimes from a group of n components under test. Reliability/Hazard function estimates, Bayes predictive distributions and highest posterior density prediction intervals for a future observation are also considered. Two data examples and a Monte Carlo simulation study are used to illustrate the results and to compare the performances of the different methods. 展开更多
关键词 Bayes Estimator HPD Interval Maxwell Distribution MLE PREDICTION Reliability Function
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