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Abstract:
设θ为p×1参数向量,T1和T2分别为p×1和q×1统计量,ET1=θ,ET2=0,它们的协方差矩阵为这里σ2未知,∑>0(即∑为正定阵).众所周知,当∑12≠0时,T1不是θ的一致最小方差无偏估计.Rao[1]提出了θ的更好估计θ*=T1-∑12∑22-1T2,称为协方差改进估计.这里所谓"更好"是指:coVθ*=∑11-∑12∑221∑21≤∑11=covT1,其中A≤B表示B-A≥0.于是,θ*在均方误差意义下改进了T1.关于这一方面的进一步结果见文献[2,3].
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科学通报
ISSN: 0023-074X
Year: 1995
Issue: 1
Volume: 40
Page: 12-15
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count: 24
Chinese Cited Count:
30 Days PV: 8
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