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Fuzzy prior information and minimax estimation in the linear regression model
Arnold, Bernhard - 1995
Persistent link: https://www.econbiz.de/10000953245
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Prediction in linear regression combining crisp data and fuzzy prior information
Arnold, Bernhard - 1995
Persistent link: https://www.econbiz.de/10000953255
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Competitive supply behaviour when price information is fuzzy
Arnold, Bernhard - 1995
Persistent link: https://www.econbiz.de/10000953256
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Minimax adjustment technique and fuzzy information
Arnold, Bernhard - 1996
Persistent link: https://www.econbiz.de/10000953260
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A note on the robustness of the generalized least squares estimator in linear regression
Arnold, Bernhard - 1996
Persistent link: https://www.econbiz.de/10000953265
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Linear affine estimation in misspecified linear regression models using fuzzy prior information
Arnold, Bernhard - 1997
Persistent link: https://www.econbiz.de/10000993098
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The minimax adjustment principle
Arnold, Bernhard - 1998
Persistent link: https://www.econbiz.de/10000993116
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Another look at the Kuks-Olman estimator
Arnold, Bernhard; Stahlecker, Peter - 1999
Persistent link: https://www.econbiz.de/10001379094
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Relative squared error prediction in the generalized linear regression model
Arnold, Bernhard; Stahlecker, Peter - 1999
Persistent link: https://www.econbiz.de/10001379097
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A note on the robustness of the generalized least squares estimator in linear regression
Arnold, Bernhard; Stahlecker, Peter - In: Allgemeines statistisches Archiv : AStA ; journal of … 83 (1999) 2, pp. 224-229
Persistent link: https://www.econbiz.de/10001388623