Afficher la notice abrégée

dc.contributor.author Laroussi lhem
dc.contributor.author Messaci Fatiha
dc.date.accessioned 2022-05-25T08:44:54Z
dc.date.available 2022-05-25T08:44:54Z
dc.date.issued 2017-01-01
dc.identifier.uri http://depot.umc.edu.dz/handle/123456789/8833
dc.description 94 f.
dc.description.abstract In this work, we are interested in two non-parametric methods of the regression function. Namely the method of least squares and the penalized least squares. Our contribution is in the fact that we extended these methods if the variable answer is subjected to a mixed censure. We showed that the introduced estimators almost surely converge towards the optimal value.
dc.format 30 cm.
dc.language.iso fre
dc.publisher Université Frères Mentouri - Constantine 1
dc.subject Mathématiques
dc.title Inférence statistique dans le cas d'observations censurées
dc.coverage 2 copies imprimées disponibles


Fichier(s) constituant ce document

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée

Chercher dans le dépôt


Parcourir

Mon compte