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.
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