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Semi- and Nonparametric Approaches to Regression Analysis

  • Ludwig Fahrmeir
  • Gerhard Tutz
Part of the Springer Series in Statistics book series (SSS)

Abstract

In this chapter we give developments 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 mostly assumed to be in some way smooth, and the data are allowed to determine the appropriate functional form under weak restrictions.

Keywords

Smoothing Parameter Nonparametric Approach Multivariate Adaptive Regression Spline Smoothing Technique Spline Smoothing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Ludwig Fahrmeir
    • 1
  • Gerhard Tutz
    • 2
  1. 1.Department of StatisticsUniversity of MunichMünchenGermany
  2. 2.Department of StatisticsUniversity of MunichMünchenGermany

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