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.
基金
中国科学院知识创新工程重要方向项目(KJCX3-SYW-S02)资助