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半参数回归模型中参数的Bayes估计 被引量:3

The Bayes estimation of parameters in semi-parametric regression model
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摘要 导出了半参数回归模型中参数的Bayesian最小风险线性无偏估计(BMRLUE),研究了其在均方误差矩阵(MSEM)准则、PRPC和PPC准则下相对于最小二乘加权估计(LSWE)的优良性. The Bayesian minimum risk linear unbiased estimator(BMRLUE)of parameters was derived in semi-parametric regression model.The superiorities of the BMRLUE over least square weight estimator(LSWE)was studied in terms of the mean square error matrix(MSEM)criterion,PRPC and PPC criterion.
出处 《中国科学技术大学学报》 CAS CSCD 北大核心 2010年第9期881-886,共6页 JUSTC
基金 中国科学院知识创新工程重要方向项目(KJCX3-SYW-S02)资助
关键词 半参数回归模型 贝叶斯最小风险线性无偏估计(BMRLUE) 最小二乘权估计(LSWE) 均方误差矩阵(MSEM)准则 PRPC准则 PPC准则 semi-parametric regression model Bayesian minimum risk linear unbiased estimator least square weight estimator mean square error matrix criterion PRPC criterion PPC criterion
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参考文献9

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二级参考文献11

  • 1韦来生.PC准则下错误指定模型中回归系数有约束LS估计的优良性[J].中国科学技术大学学报,1996,26(3):277-283. 被引量:1
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