Abstract
In this work we study the structure of regression surfaces for additive models by using the graphic tool SiZer Map. This kind of graph was introduced by Chaudhuri and Marron (1999) for density and regression estimation. To estimate the regression model we use the backfitting algorithm, Buja et al. (1989), with local linear smoothers, Opsomer and Ruppert (1997), implemented with binning methods, Fan and Marron (1994).
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© 2002 Springer-Verlag Berlin Heidelberg
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Miranda, R.R., Miranda, M., Carmona, A.G. (2002). Exploring the Structure of Regression Surfaces by using SiZer Map for Additive Models. In: Härdle, W., Rönz, B. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57489-4_53
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DOI: https://doi.org/10.1007/978-3-642-57489-4_53
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1517-7
Online ISBN: 978-3-642-57489-4
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