The general Gauss-Markov model with possibly singular dispersion matrix

被引:39
作者
Gross, J [1 ]
机构
[1] Univ Dortmund, Dept Stat, D-44221 Dortmund, Germany
关键词
D O I
10.1007/BF02777575
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Linear models with possibly singular dispersion (variance-covariance) matrix of the vector of disturbances have been considered in the literature since the late sixties. In this paper we give a survey of important results and consequences without a claim to completeness. Proofs are given for the results in Sections 2 to 5. 1 Notation 2 The General Gauss-Markov Model 3 Best Linear Unbiased Estimation 4 Quadratic Unbiased Estimation 5 Testing a Linear Hypothesis 6 Further Aspects of Linear Estimation.
引用
收藏
页码:311 / 336
页数:26
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