Semiparametric regression /

Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametri...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Ruppert, David, 1948- (Author), Wand, M. P. (Matt P.) (Author), Carroll, Raymond J. (Author)
Format: Electronic eBook
Language:Inglés
Published: Cambridge ; New York : Cambridge University Press, 2003.
Series:Cambridge series on statistical and probabilistic mathematics.
Subjects:
Regression analysis.
Nonparametric statistics.
Analyse de régression.
Statistique non paramétrique.
MATHEMATICS > Probability & Statistics > Regression Analysis.
Nonparametric statistics
Regression analysis
Online Access:Texto completo
Table of Contents:
  • Introduction
  • Parametric regression
  • Scatterplot smoothing
  • Mixed models
  • Automatic scatterplot smoothing
  • Inference
  • Simple semiparametric models
  • Additive models
  • Semiparametric mixed models
  • Generalized parametric regression
  • Generalized additive models
  • Interaction models
  • Bivariate smoothing
  • Variance function estimation
  • Measurement error
  • Bayesian semiparametric regression
  • Spatially adaptive smoothing
  • Analyses
  • Epilogue
  • Technical complements
  • Computational issues.

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