Robust nonlinear regression : with applications using R

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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Detalles Bibliográficos
Otros Autores: Riazoshams, Hossein, 1971- author (author), Midi, Habshah, author, Ghilagaber, Gebrenegus, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons, Inc [2019]
Edición:1st edition
Materias:
Nonlinear theories.
R (Computer program language)
Regression analysis.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631579706719
Tabla de Contenidos:
  • 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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