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Robustness of Minimum Norm Quadratic Unbiased Estimator of Variance Under the General Linear Model
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作者 张宝学 罗季 李馨 《Journal of Beijing Institute of Technology》 EI CAS 2002年第1期97-100,共4页
Necessary and sufficient conditions for equalities between a 2 y′(I-P Xx)y and minimum norm quadratic unbiased estimator of variance under the general linear model, where a 2 is a known positive number, are... Necessary and sufficient conditions for equalities between a 2 y′(I-P Xx)y and minimum norm quadratic unbiased estimator of variance under the general linear model, where a 2 is a known positive number, are derived. Further, when the Gauss? Markov estimators and the ordinary least squares estimator are identical, a relative simply equivalent condition is obtained. At last, this condition is applied to an interesting example. 展开更多
关键词 general linear model orthogonal projector minimum norm quadratic unbiased estimator
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