A NOTE ON BAYESIAN ANALYSIS OF DECAPITATED GENERALIZED POISSON DISTRIBUTION UNDER VARIOUS LOSS FUNCTIONS

It is recognized that, for Bayes estimators, the performance depends on the form of the prior distribution and the assumed loss function. This paper resolves the problem of estimation of one parameter decapitated generalized Poisson distribution; using class of improper prior distributions under sym...

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Bibliographic Details
Published in:Pakistan journal of statistics and operation research Vol. 7; no. 2; p. 157
Main Authors: Dey, Sanku, Dey, Tanujit
Format: Journal Article
Language:English
Published: Lahore University of the Punjab, College of Statistical & Actuarial Science 01.07.2011
Subjects:
Bayesian analysis
Error analysis
Estimators
Operations research
Poisson distributions
Simulation
Skewed distributions
Statistics
ISSN:1816-2711, 2220-5810
Online Access:Get full text
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Summary:It is recognized that, for Bayes estimators, the performance depends on the form of the prior distribution and the assumed loss function. This paper resolves the problem of estimation of one parameter decapitated generalized Poisson distribution; using class of improper prior distributions under symmetric and asymmetric loss functions. The statistical performances of the Bayes estimates with respect to different priors and loss functions are compared using mean square error based on simulation study.
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ISSN:1816-2711
2220-5810
DOI:10.18187/pjsor.v7i2.166