A note on the concepts of linear and qua
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Jürgen Groβ
📂
Article
📅
1998
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Elsevier Science
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English
⚖ 374 KB
Under the general Gauss-Markov model y = X/~ + e, linear transformations Fy of the observable random vector y which preserve enough information to release the best linear unbiased predictor/estimator of E as a linear function of Fy are considered. Transformations with this property are called 'linea