Nonparametric and Semiparametric Models

The concept of nonparametric smoothing is a central idea in statistics that aims to simultaneously estimate and modes the underlying structure. The book considers high dimensional objects, as density functions and regression. The semiparametric modeling technique compromises the two aims, flexibilit...

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Main Authors: Härdle, Wolfgang Karl, Müller, Marlene (Author), Sperlich, Stefan (Author), Werwatz, Axel (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2004, 2004
Edition:1st ed. 2004
Series:Springer Series in Statistics
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1 Introduction
  • 1.1 Density Estimation
  • 1.2 Regression
  • Summary
  • I Nonparametric Models
  • 2 Histogram
  • 3 Nonparametric Density Estimation
  • 4 Nonparametric Regression
  • II Semiparametric Models
  • 5 Semiparametric and Generalized Regression Models
  • 6 Single Index Models
  • 7 Generalized Partial Linear Models
  • 8 Additive Models and Marginal Effects
  • 9 Generalized Additive Models
  • References
  • Author Index