%0 Journal Article
%T Bayesian Estimation and Prediction for the Maxwell Failure Distribution Based on Type II Censored Data
%A Anwar M. Hossain
%A Gabriel Huerta
%J Open Journal of Statistics
%P 49-60
%@ 2161-7198
%D 2016
%I Scientific Research Publishing
%R 10.4236/ojs.2016.61007
%X 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.
%K Bayes Estimator
%K HPD Interval
%K Maxwell Distribution
%K MLE
%K Prediction
%K Reliability Function
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=63641