Nonparametric additive location-scale models for interval censored data

Lambert, Philippe

doi:10.1007/s11222-011-9292-6

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Article (Scientific journals)

Nonparametric additive location-scale models for interval censored data

Lambert, Philippe

2013 • In Statistics and Computing, 23, p. 75-90

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https://hdl.handle.net/2268/101857

DOI
10.1007/s11222-011-9292-6

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Keywords :

Nonparametric regression; Interval censored data; Location-scale model; Additive model; B-splines

Abstract :

[en] An nonparametric additive model for the location and dispersion of a continuous response with an arbitrary smooth conditional distribution is proposed. B-splines are used to specify the three components of the model. It can deal with interval censored data and multiple covariates. After a simulation study, the relation between age, the number of years of full-time education and the net income (provided as intervals) available per person in Belgian households is studied from survey data.

Disciplines :

Mathematics

Author, co-author :

Lambert, Philippe ; Université de Liège - ULiège > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales

Language :

English

Title :

Nonparametric additive location-scale models for interval censored data

Publication date :

2013

Journal title :

Statistics and Computing

ISSN :

0960-3174

eISSN :

1573-1375

Publisher :

Springer

Volume :

Pages :

75-90

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 07 November 2011

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