| Abstract | Bayes and classical estimators have been obtained for a two-
parameter exponentiated Pareto distribution for when samples are
available from complete, type I and type II censoring schemes.
Bayes estimators have been developed under a squared error loss
function as well as under a LINEX loss function using priors of
non-informative type for the parameters. It has been seen that the
estimators obtained are not available in nice closed forms, although
they can be easily evaluated for a given sample by using suitable
numerical methods. The performances of the proposed estimators
have been compared on the basis of their simulated risks obtained
under squared error as well as under LINEX loss functions. |