Abstract
In this chapter developments are given that lead beyond the framework of parametric models. Instead of assuming a functional form that specifies how explanatory variables determine dependent variables, the functional form is assumed to be in some way smooth, and the data are allowed to determine the appropriate functional form under weak restrictions.
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© 1994 Springer Science+Business Media New York
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Fahrmeir, L., Tutz, G. (1994). Semi— and nonparametric approaches to regression analysis. In: Multivariate Statistical Modelling Based on Generalized Linear Models. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-0010-4_5
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DOI: https://doi.org/10.1007/978-1-4899-0010-4_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4899-0012-8
Online ISBN: 978-1-4899-0010-4
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