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Robust nonlinear regression : with applications using R by Ghilagaber, Gebrenegus; Midi, Habshah; Riazoshams, Hossein is a nonfiction available to read on EtoBox.

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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 nonlinear regression and focuses on outlier effects. It develops new methods in robust nonlinear regression and implements a set of objects and functions in S-language under SPLUS and R software. The software covers a wide range of robust nonlinear fitting and inferences, and is designed to provide facilities for computer users to define their own nonlinear models as an object, and fit models using classic and robust methods as well as detect outliers. The implemented objects and functions can be applied by practitioners as well as researchers. -- Read more... Abstract: 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 nonlinear regression and focuses on outlier effects. It develops new methods in robust nonlinear regression and implements a set of objects and functions in S-language under SPLUS and R software. The software covers

Who reads Robust nonlinear regression : with applications using R?

Author

Ghilagaber, Gebrenegus; Midi, Habshah; Riazoshams, Hossein

Publisher

John Wiley & Sons, Incorporated

Published

2018

Language

EN

ISBN

9781119010456

Category

nonfiction

Subjects

Mathematics, Computer Science, Stem