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Superiority of empirical Bayes estimation of error variance in linear model 被引量:3
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作者 Ling CHEN Laisheng WEI 《Frontiers of Mathematics in China》 SCIE CSCD 2012年第4期629-644,共16页
In this paper, the Bayes estimator of the error variance is derived in a linear regression model, and the parametric empirical Bayes estimator (PEBE) is constructed. The superiority of the PEBE over the least square... In this paper, the Bayes estimator of the error variance is derived in a linear regression model, and the parametric empirical Bayes estimator (PEBE) is constructed. The superiority of the PEBE over the least squares estimator (LSE) is investigated under the mean square error (MSE) criterion. Finally, some simulation results for the PEBE are obtained. 展开更多
关键词 Linear regression model error variance parametric empirical bayes estimation mean square error criterion simulation result
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