Mean preservation in censored regression using preliminary nonparametric smoothing

Mean preservation in censored regression using preliminary nonparametric smoothing

In this thesis, we consider the problem of estimating the regression function in location-scale regression models. This model assumes that the random vector (X,Y) satisfies Y = m(X) + s(X)e, where m(.) is an unknown location function (e.g. conditional mean, median, truncated mean,...), s(.) is an un...

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Bibliographic Details
Main Author: Heuchenne, Cédric
Format: Others
Language:en
Published: Universite catholique de Louvain 2005
Subjects:
Kernel estimation
Location-scale model
Least-squares estimation
Survival analysis
Right censoring
Bandwidth selection
Linear regression
Nonparametric regression
Fatigue life data
Censored regression
Online Access:http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-08172005-154352/

Internet

http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-08172005-154352/

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