Uniform law of the logarithm for the local linear estimator of the conditional distribution function

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Bibliographic Details
Title: Uniform law of the logarithm for the local linear estimator of the conditional distribution function
Alternate Title: Loi uniforme du logarithme pour l'estimateur linéaire local de la fonction de répartition conditionnelle
Authors: Ferrigno, Sandie1 sandie.ferrigno@iecn.u-nancy.fr, Maumy-Bertrand, Myriam2 myriam.maumy@math.unistra.fr, Muller, Aurélie1 aurelie.muller@iecn.u-nancy.fr
Source: Comptes Rendus. Mathématique. Sep2010, Vol. 348 Issue 17/18, p1015-1019. 5p.
Subjects: Logarithms, Linear systems, Distribution (Probability theory), Parameter estimation, Mathematical analysis
Abstract (English): Abstract: In this Note, we first recall the results of the behaviour of the nonparametric estimator of the conditional distribution function which we can find in the literature. We establish exact rate of strong uniform consistency for the local linear estimator of the conditional distribution function. Our methods of proofs are based upon modern empirical process theory in the spirit of the results of Einmahl and Mason (2000) and Deheuvels and Mason (2004) . [ABSTRACT FROM AUTHOR]
Abstract (French): Résumé: Dans cette Note, nous rappelons d''''abord les résultats sur le comportement de l''''estimateur non paramétrique de la fonction de répartition conditionnelle, que nous pouvons trouver dans la littérature. Puis, nous établissons la vitesse exacte de la consistance forte uniforme pour l''''estimateur linéaire local de la fonction de répartition conditionnelle. Pour démontrer nos résultats, nous utiliserons les théories récentes faisant intervenir des processus tous dérivant du processus empirique dans l''''esprit des articles de Einmahl et Mason (2000) et de Deheuvels et Mason (2004) .
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Database: Engineering Source
Description
Abstract:Abstract: In this Note, we first recall the results of the behaviour of the nonparametric estimator of the conditional distribution function which we can find in the literature. We establish exact rate of strong uniform consistency for the local linear estimator of the conditional distribution function. Our methods of proofs are based upon modern empirical process theory in the spirit of the results of Einmahl and Mason (2000) and Deheuvels and Mason (2004) . [ABSTRACT FROM AUTHOR]
ISSN:1631073X
DOI:10.1016/j.crma.2010.08.003