A Summary of Some Research on PC and Bayesian PC Criterion in China

DOI10.1080/03610926.2012.709904zbMath1302.62161OpenAlexW2056453098MaRDI QIDQ2931579

Lai-Sheng Wei

Publication date: 26 November 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.709904

zbMATH Keywords

robustnesslinear modelBayes linear minimum risk estimator (BLMRE)Bayesian PC criterionleast squares estimator (LSE)Pitman closeness (PC) criterion

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian problems; characterization of Bayes procedures (62C10)

Cites Work

• The superiorities of Bayes linear unbiased estimator in multivariate linear models
• The Pitman comparison of unbiased linear estimators
• The Stein paradox in the sense of the Pitman measure of closeness
• The Bayes estimator in a misspecified linear regression model
• Ridge regression versus ols by pitman's closeness under quadratic and fisher's loss
• Bayesian pitman closeness
• A Comparison of james–sten regression with least squares in the pitman nearness sense
• The Superiorities of Bayes Linear Minimum Risk Estimation in Linear Model
• THE SMALL SAMPLE PROPERTIES OF THE PRINCIPAL COMPONENTS ESTIMATOR FOR REGRESSION COEFFICIENTS
• The pitman nearness criterion and its determination
• Linear Statistical Inference and its Applications

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