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An unexpected property of minimax estimation in the relative squared error approach to linear regression analysis
Arnold, Bernhard; Stahlecker, Peter - In: Metrika 74 (2011) 3, pp. 397-407
Persistent link: https://www.econbiz.de/10009324798
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Uniformly best estimation in linear regression when prior information is fuzzy
Arnold, Bernhard; Stahlecker, Peter - In: Statistical Papers 51 (2010) 2, pp. 485-496
Persistent link: https://www.econbiz.de/10008456157
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Competitive supply behavior when price information is fuzzy
Arnold, Bernhard; Größl, Ingrid; Stahlecker, Peter - In: Journal of Economics 72 (2000) 1, pp. 45-66
Persistent link: https://www.econbiz.de/10005715718
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The Minimax, the Minimin, and the Hurwicz Adjustment Principle
Arnold, Bernhard; Größl, Ingrid; Stahlecker, Peter - In: Theory and Decision 52 (2002) 3, pp. 233-260
Persistent link: https://www.econbiz.de/10005542800
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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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Linear estimation in regression analysis using fuzzy prior information
Arnold, Bernhard - 1995
Persistent link: https://www.econbiz.de/10000953247
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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