2010•Journal of Putian UniversityRequires access

The Admissibility of Linear Estimators of the Regression Coefficients under Balanced Loss Function

Haiyan Liu

Open publisher page 0 citations

Abstract

For a given multivariate normal linear model,a new generalized balanced loss function is defined by modifying the balanced loss function given by Zellner.The admissibility of linear estimators of the regression coefficients matrix of the multivariate normal linear model in the class of all estimators under this loss has been studied,the necessary and sufficient condition is given.This method can also be used in the study of the admissibility of linear estimators in the class of all linear estimators and other definitions of admissibility.

About this research paper

What this paper is about

For a given multivariate normal linear model,a new generalized balanced loss function is defined by modifying the balanced loss function given by Zellner.The admissibility of linear estimators of the regression coefficients matrix of the multivariate normal linear model in the class of all estimators under this loss has been studied,the necessary and sufficient condition is given.This method can also be used in the study of the admissibility of linear estimators in the class of all linear estimators and other definitions of admissibility.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

For a given multivariate normal linear model,a new generalized balanced loss function is defined by modifying the balanced loss function given by Zellner.The admissibility of linear estimators of the regression coefficients matrix of the multivariate normal linear model in the class of all estimators under this loss has been studied,the necessary and sufficient condition is given.This method can also be used in the study of the admissibility of linear estimators in the class of all linear estimators and other definitions of admissibility.

Key concepts: Estimator, Linear regression, Mathematics, Linear model, Linear predictor function, Bayesian multivariate linear regression, Multivariate statistics, Function (biology)

Related papers

Back to paper searchBrowse research topicsOriginal source
The Admissibility of Linear Estimators of the Regression Coefficients under Balanced Loss Function — Research Paper | ScholarLens