Robust nonlinear regression : with applications using R /

The first book to discuss robust aspects of nonlinear regression-with applications using R software Robust Nonlinear Regression: with Applications using R covers a variety of theories and applications of nonlinear robust regression. It discusses both parts of the classic and robust aspects of nonlin...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Riazoshams, Hossein, 1971- (Auteur), Midi, Habshah (Auteur), Ghilagaber, Gebrenegus (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Hoboken, NJ : John Wiley & Sons, 2019.
Sujets:
Regression analysis.
Nonlinear theories.
R (Computer program language)
Analyse de régression.
Théories non linéaires.
R (Langage de programmation)
MATHEMATICS > Probability & Statistics > Regression Analysis.
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • Robust statistics
  • Nonlinear models
  • Robust estimators in nonlinear regression
  • Heteroscedastic variance
  • Authocorrelated errors
  • Outlier detection in nonlinear regression
  • Optimization
  • Nlr package
  • Robust nonlinear regression in R.

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