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SUR回归系统系数估计的一些推广结果
Some Extended Results on Parameter Estimation in Seemingly Unrelated Regression Equations
【摘要】 文[1]给出了关于相依回归方程系统(SURS)系数最小方差无偏估计(MVLUE)的一些充要条件,本文继续讨论了两类SURS的回归系数的MVLUE的充要条件,并讨论了两步Zellner估计的有限样本性质,从而进一步推广和完善了[1]中的相应结果。
【Abstract】 For m seemingly unrelated regression equations system (SURS):yi=:xiβi+ε,i=1,…, m. [1] gives some necessary and sufficient conditions for the minimum variance linear unbiased estimators (MVLUE) of βi. In this paper,we give some further results for two classes of SURS. Some results obtained in paper [1] are improved and extended. The finite sampleproperties of Zellner’s tow-stage estimators based on the unrestricted estimate of Σ= (σij) are also examined in this paper.
【关键词】 半相依回归;
最小方差线性无偏估计;
两步估计;
【Key words】 Seemingly unrelated regression; Minimum variance linear unbiased estimate; Two-stage estimate;
【Key words】 Seemingly unrelated regression; Minimum variance linear unbiased estimate; Two-stage estimate;
- 【文献出处】 应用数学 ,Mathematica Applicata , 编辑部邮箱 ,1994年03期
- 【分类号】O212
- 【被引频次】2
- 【下载频次】106