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Titre :
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Practical use bootstrap in regression
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|
Auteurs :
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M. Gruet ;
S. Huet ;
INRA JOUY EN JOSAS LABORATOIRE DE BIOMETRIE ;
E. Jolivet
|
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Type de document :
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article/chapitre/communication
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Année de publication :
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1993
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Format :
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p. 150-166
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Note générale :
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Sigle : INRA
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Langues:
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= Anglais
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Catégories :
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MATHEMATIQUES STATISTIQUES
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Mots-clés:
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CALIBRAGE
;
ANALYSE DE VARIANCE
;
STATISTIQUE
;
MODELE DE SIMULATION
;
ESTIMATION DES PARAMETRES
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Résumé :
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The usefulness of bootstrap in statistical analysis of regression models is demonstrated. Surveying earlier results, four specific problems are considered : the computation of confidence intervals for parameters in a nonlinear regression model ; the computation of calibration sets in calibration analysis, when the standard curve is described by nonlinear function ; the estimation of the covariance matrix of the parameter estimates for an incomplete analysis of variance model, in the presence of an interaction term ; the computation of confidence intervals for the values of the regression function, when a nonparametric heteroscedastic model is considered. Theoretical properties of the proposed bootstrap procedures, as well as indications about their actual efficiency based on simulation results, are given.
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Source :
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Computer intensive method of statistics
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