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~person:"Stahlecker, Peter"
~subject:"Economic growth"
~subject:"Estimation theory"
~type_genre:"Arbeitspapier"
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Stahlecker, Peter
Härdle, Wolfgang
56
Pesaran, M. Hashem
38
Franses, Philip Hans
30
Maravall Herrero, Agustín
24
Phillips, Peter C. B.
24
Swanson, Norman R.
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Strulik, Holger
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15
Diebold, Francis X.
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Sheather, Simon J.
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14
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14
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13
Feng, Yuanhua
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13
Rehme, Günther
13
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13
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12
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Beiträge aus dem Institut für Statistik und Ökonometrie der Universität Hamburg
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ECONIS (ZBW)
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1
On the performance of some inequality restricted estimators in linear regression
Schmidt, Karsten
;
Stahlecker, Peter
-
1990
Persistent link: https://www.econbiz.de/10000804674
Saved in:
2
A new approach to missing values in linear regression
Jänner, Michaela
;
Stahlecker, Peter
-
1991
Persistent link: https://www.econbiz.de/10000815631
Saved in:
3
A comparison of maximum likelihood and quasi minimax approach to missing values
Jänner, Michaela
-
1991
Persistent link: https://www.econbiz.de/10000825050
Saved in:
4
Reducing the maximum risk of regression estimators by polyhedral projection
Schmidt, Karsten
;
Stahlecker, Peter
-
1991
Persistent link: https://www.econbiz.de/10000130405
Saved in:
5
Linear estimation in regression analysis using fuzzy prior information
Arnold, Bernhard
-
1995
Persistent link: https://www.econbiz.de/10000953247
Saved in:
6
Prediction in linear regression combining crisp data and fuzzy prior information
Arnold, Bernhard
-
1995
Persistent link: https://www.econbiz.de/10000953255
Saved in:
7
A note on the robustness of the generalized least squares estimator in linear regression
Arnold, Bernhard
-
1996
Persistent link: https://www.econbiz.de/10000953265
Saved in:
8
Uniformly best estimation in linear regression when prior information is fuzzy
Arnold, Bernhard
;
Stahlecker, Peter
-
2008
Persistent link: https://www.econbiz.de/10003781024
Saved in:
9
Biased estimation and hypothesis testing in linear regression
Schmidt, Karsten
;
Stahlecker, Peter
-
1992
Persistent link: https://www.econbiz.de/10010529182
Saved in:
10
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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