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On estimation of the exponentiated Pareto distribution under different sample schemes. (English) Zbl 1230.62006

Summary: Bayes and classical estimators have been obtained for a two-parameter exponentiated Pareto distribution 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.

MSC:

62C10 Bayesian problems; characterization of Bayes procedures
62F10 Point estimation
62N01 Censored data models
62F15 Bayesian inference
65C60 Computational problems in statistics (MSC2010)
Full Text: DOI

References:

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