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- W2090651451 abstract "Theil (1963) suggested a mixed estimator when there is prior information used in regression analysis. It implies that the investigator not only estimates a parameter based on the sample data, but also combines the prior information by formulating it in terms of unbiased estimates and their covariance matrix. In particular, he assumes that the prior unbiased estimators r are q linear combinations of the parameters. The mixed regression model is" @default.
- W2090651451 created "2016-06-24" @default.
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- W2090651451 date "1979-01-01" @default.
- W2090651451 modified "2023-09-27" @default.
- W2090651451 title "A NOTE ON GOOD RIDGE ESTIMATORS BASED ON PRIOR INFORMATION" @default.
- W2090651451 cites W2026303943 @default.
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- W2090651451 doi "https://doi.org/10.1108/eb028607" @default.
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