Les methodes du bootstrap dans les modeles de regression
Abstract
Dans la pratique, la plupart des statistiques de test ont une distribution de probabilite de forme inconnue. Generalement, on utilise leur loi asymptotique comme approximation de la vraie loi. Mais, si l'echelon dont on dispose n'est pas de taille suffisante cette approximation peut etre de mauvaise qualite et les test bases dessus largement biaises.Download Info
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Bibliographic Info
Paper provided by Universite Aix-Marseille III in its series G.R.E.Q.A.M. with number 99c10.Length: 20 pages
Date of creation: 1999
Date of revision:
Handle: RePEc:fth:aixmeq:99c10
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Related research
Keywords: ANALYSE DE REGRESSION ; MODELES ECONOMIQUES ; ECONOMETRIE;Other versions of this item:
- Emmanuel Flachaire, 2000. "Les méthodes du bootstrap dans les modèles de régression," Économie et Prévision, Programme National Persée, vol. 142(1), pages 183-194.
- Emmanuel Flachaire, 2001. "Les méthodes du bootstrap dans les modèles de régression," Post-Print halshs-00175894, HAL.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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"Bootstrap Tests: How Many Bootstraps?,"
Working Papers
1036, Queen's University, Department of Economics.
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- repec:fth:louvco:9924 is not listed on IDEAS
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