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- W2107701530 abstract "Abstract In this article a class of restricted minimum bias linear estimators of the vector of unknown regression coefficients when multicollinearity among the columns of the design matrix exists, is obtained. The ordinary ridge regression, principal components and shrinkage estimators are members of this class. Moreover, our ap-proach can be used to improve, in some sense, certain classes of generalized ridge and shrinkage estimators of the vector of un-known parameters in linear models. Keywords: MulticollinearityEuclidean normridge estimatorshrinkage estimatordesign matrix" @default.
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- W2107701530 date "1991-01-01" @default.
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- W2107701530 title "Restricted minimum bias linear estimation in regression" @default.
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- W2107701530 doi "https://doi.org/10.1080/03610929108830739" @default.
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