Nonparametric and Semiparametric Models

Nonparametric and Semiparametric Models by Wolfgang Karl Härdle, Marlene Müller, Stefan Sperlich, Axel Werwatz.

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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Bibliographic Details
Main Authors: Härdle, Wolfgang Karl (Author), Müller, Marlene (Author), Sperlich, Stefan (Author), Werwatz, Axel (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
Edition:1st ed. 2004.
Series:Springer Series in Statistics,
Springer eBook Collection.
Subjects:
Probabilities.
Statistics .
Econometrics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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.

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