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Nonparametric additive location-scale models for interval censored data

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Abstract

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.

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Authors and Affiliations

  1. Institut des sciences humaines et sociales, Méthodes quantitatives en sciences sociales, Université de Liège, Liège, Belgium

    Philippe Lambert

  2. Institut de statistique, biostatistique et sciences actuarielles (ISBA), Université catholique de Louvain, Louvain-la-Neuve, Belgium

    Philippe Lambert

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  1. Philippe Lambert
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Correspondence to Philippe Lambert.

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Lambert, P. Nonparametric additive location-scale models for interval censored data. Stat Comput 23, 75–90 (2013). https://doi.org/10.1007/s11222-011-9292-6

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  • DOI: https://doi.org/10.1007/s11222-011-9292-6

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