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~isPartOf:"Cambridge working papers in economics"
~subject:"Sampling"
~subject:"Stochastic process"
~subject:"Strukturbruch"
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Sampling
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Strukturbruch
Statistical test
28
Statistischer Test
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10
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10
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Cambridge working papers in economics
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50
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27
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25
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
17
Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
14
CEMMAP working papers / Centre for Microdata Methods and Practice
13
Applied economics letters
11
The econometrics journal
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10
Diskussionsbeiträge des Fachbereichs Wirtschaftswissenschaft der Freien Universität Berlin
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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Discussion papers of interdisciplinary research project 373
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Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät / Wirtschaftswissenschaftliche Fakultät, Universität Hannover : Hannover economic papers (HEP)
6
Econometrics : open access journal
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Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse
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Consistent testing for an implication of supermodular dominance
Chung, Danbi
;
Linton, Oliver
;
Whang, Yoon-jae
-
2021
Persistent link: https://www.econbiz.de/10013257478
Saved in:
2
Testing stochastic dominance with many conditioning variables
Linton, Oliver
;
Seo, Myung Hwan
;
Whang, Yoon-jae
-
2020
Persistent link: https://www.econbiz.de/10012793096
Saved in:
3
Testing for time stochastic dominance
Lee, Kyungho
;
Linton, Oliver
;
Whang, Yoon-jae
-
2020
Persistent link: https://www.econbiz.de/10013253442
Saved in:
4
A multiple testing approach to the regularisation of large sample correlation matrice
Bailey, Natalia
;
Peseran, Hashem
;
Smith, L. Vanessa
-
2014
Persistent link: https://www.econbiz.de/10010366306
Saved in:
5
On testing sample selection bias under the multicollinearity problem
Yamagata, Takashi
(
contributor
)
-
2005
Persistent link: https://www.econbiz.de/10002846348
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