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[学科前沿] Robust Nonlinear Regression with Applications Using R [推广有奖]

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Robust Nonlinear Regression with Applications Using R-Wiley (2018).pdf (3.21 MB, 需要: 10 个论坛币)




Author(s): Hossein Riazoshams, Habshah Midi    Publisher: Wiley, Year: 2018      ISBN: 9781119010449



Description:
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.





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