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The minimax adjustment princip...
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Linear estimation in regression analysis using fuzzy prior information
Arnold, Bernhard
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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
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1995
Persistent link: https://www.econbiz.de/10000953255
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3
Competitive supply behaviour when price information is fuzzy
Arnold, Bernhard
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1995
Persistent link: https://www.econbiz.de/10000953256
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4
Minimax adjustment technique and fuzzy information
Arnold, Bernhard
-
1996
Persistent link: https://www.econbiz.de/10000953260
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5
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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6
Uniformly best estimation in linear regression when prior information is fuzzy
Arnold, Bernhard
;
Stahlecker, Peter
-
2008
Persistent link: https://www.econbiz.de/10003781024
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7
Some properties of the relative squared error approach to linear regression analysis
Arnold, Bernhard
;
Stahlecker, Peter
-
2001
Persistent link: https://www.econbiz.de/10001896176
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8
A relative squared error approach to linear regression analysis
Arnold, Bernhard
;
Stahlecker, Peter
-
1999
Persistent link: https://www.econbiz.de/10001432770
Saved in:
9
The minimax, the minimin, and the Hurwicz adjustment principle
Arnold, Bernhard
;
Größl, Ingrid
;
Stahlecker, Peter
-
1999
Persistent link: https://www.econbiz.de/10001432781
Saved in:
10
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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