文章基本信息

标题：Bayesian Estimation and Prediction for the Maxwell Failure Distribution Based on Type II Censored Data
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作者：Anwar M. Hossain ; Gabriel Huerta
期刊名称：Open Journal of Statistics
印刷版ISSN：2161-718X
电子版ISSN：2161-7198
出版年度：2016
卷号：06
期号：01
页码：49-60
DOI：10.4236/ojs.2016.61007
语种：English
出版社：Scientific Research Publishing
摘要：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.
关键词：Bayes Estimator;HPD Interval;Maxwell Distribution;MLE;Prediction;Reliability Function