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2006•Unpublished venueRequires access

The Bayesian estimator of the parameter of different populations based on quadratic loss function

WU Xiao-lei

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Abstract

This article discusses the population of and,and computes the Bayesian estimators respectively.Then prepared their Bayesian risk with the corresponding risk of moment estimator.We find that the Bayesian risk is the minimum,the Bayesian estimator is optimum.

About this research paper

What this paper is about

This article discusses the population of and,and computes the Bayesian estimators respectively.Then prepared their Bayesian risk with the corresponding risk of moment estimator.We find that the Bayesian risk is the minimum,the Bayesian estimator is optimum.

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Key contribution

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Available abstract

This article discusses the population of and,and computes the Bayesian estimators respectively.Then prepared their Bayesian risk with the corresponding risk of moment estimator.We find that the Bayesian risk is the minimum,the Bayesian estimator is optimum.

Key concepts: Estimator, Bayesian probability, Bayes estimator, Statistics, Invariant estimator, Mathematics, Moment (physics), Econometrics

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