Quelques aspects d’inférence statistique fréquentielle

Douas, Ryma; Kharfouchi, Soumia; Laroussi, Ilham

dc.contributor.author	Douas, Ryma
dc.contributor.author	Kharfouchi, Soumia
dc.contributor.author	Laroussi, Ilham
dc.date.accessioned	2026-01-18T10:45:37Z
dc.date.available	2026-01-18T10:45:37Z
dc.date.issued	2023-07-12
dc.identifier.citation	95 f.	fr_FR
dc.identifier.uri	http://depot.umc.edu.dz/handle/123456789/14803
dc.description.abstract	In this work, we are interested in the nonparametric method of the regression function on the wavelets class. Our contribution lies in the fact that we have extended this method in case the response variable is subject to mixed censorship. We have shown that the introduced estimator almost certainly converges towards the optimal value	fr_FR
dc.language.iso	fr	fr_FR
dc.publisher	Université Frères Mentouri Constantine 1	fr_FR
dc.subject	Mathématiques: Probabilités statistiques	fr_FR
dc.subject	Fonction de régression	fr_FR
dc.subject	Moindres carrés	fr_FR
dc.subject	Ondelettes	fr_FR
dc.subject	Censure mixte	fr_FR
dc.subject	Function of regression	fr_FR
dc.subject	Least squares	fr_FR
dc.subject	Wavelets	fr_FR
dc.subject	Twice censure data	fr_FR
dc.subject	دالة الانحدار	fr_FR
dc.subject	المربعات الصغرى	fr_FR
dc.subject	المعطيات الخاضعة لحجب مزدوج	fr_FR
dc.subject	الموجات	fr_FR
dc.title	Quelques aspects d’inférence statistique fréquentielle	fr_FR
dc.title.alternative	Méthode des ondelettes.	fr_FR
dc.type	Thesis	fr_FR