Empirical model-building and response surface
Empirical model-building and response surface
Analysis of variance in nonparametric regression models
Journal of Multivariate Analysis
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Interactive local bandwidth choice
Statistics and Computing
Testing for interactions in generalized additive models: Application to SO2 pollution data
Statistics and Computing
A sign based loss approach to model selection in nonparametric regression
Statistics and Computing
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Sizer Map is proposed as a graphical tool for assistance in nonparametric additive regression testing problems. Four problems have been analyzed by using SiZer Map: testing for additivity, testing the components significance, testing parametric models for the components and testing for interactions. The simplicity and flexibility of SiZer Map for our purposes are highlighted from the performed empirical study with several real datasets. With these data, we compare the conclusions derived from SiZer analysis with the global results derived from standard tests, previously proposed in the literature.