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~subject:"Regression analysis"
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Regression analysis
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Beiträge aus dem Institut für Statistik und Ökonometrie der Universität Hamburg
9
Allgemeines statistisches Archiv : AStA ; journal of the German Statistical Society
1
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Volkswirtschaftliche Reihe / Institut für Volkswirtschaftslehre, Universität Oldenburg
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ECONIS (ZBW)
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1
A relative squared error approach to linear regression analysis
Arnold, Bernhard
;
Stahlecker, Peter
-
1999
Persistent link: https://www.econbiz.de/10001432770
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2
A numerical method for an approximate minimax estimator in linear regression
Lauterbach, Jörg
;
Stahlecker, Peter
-
1990
Persistent link: https://www.econbiz.de/10000811061
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3
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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4
Schocks und Schockverarbeitung in der EU : Anmerkungen zur Messung mit Hilfe von VAR-Modellen
Knudsen, Lars
-
1997
Persistent link: https://www.econbiz.de/10000993235
Saved in:
5
Another look at the Kuks-Olman estimator
Arnold, Bernhard
;
Stahlecker, Peter
-
1999
Persistent link: https://www.econbiz.de/10001379094
Saved in:
6
Relative squared error prediction in the generalized linear regression model
Arnold, Bernhard
;
Stahlecker, Peter
-
1999
Persistent link: https://www.econbiz.de/10001379097
Saved in:
7
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
Saved in:
8
Schocks und Schockverarbeitung in der EU : Anmerkungen zur Messung mit Hilfe von VAR-Modellen
Knudsen, Lars
-
1997
Persistent link: https://www.econbiz.de/10000968336
Saved in:
9
Some properties of the relative squared error approach to linear regression analysis
Arnold, Bernhard
;
Stahlecker, Peter
-
2001
Persistent link: https://www.econbiz.de/10001896176
Saved in:
10
A surprising property of uniformly best linear affine estimation in linear regression when prior information is fuzzy
Arnold, Bernhard
;
Stahlecker, Peter
-
2009
Persistent link: https://www.econbiz.de/10003878644
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