Nonlinear Regression with R

Nonlinear Regression with R
Author : Christian Ritz
Publisher : Springer Science & Business Media
Total Pages : 148
Release : 2008-12-11
ISBN 10 : 9780387096162
ISBN 13 : 0387096167
Language : EN, FR, DE, ES & NL

Nonlinear Regression with R Book Description:

- Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.


RELATED BOOKS:
Fitting Models to Biological Data Using Linear and Nonlinear Regression
Language: en
Pages: 352
Authors: Harvey Motulsky, Arthur Christopoulos
Categories: Mathematics
Type: BOOK - Published: 2004-05-27 - Publisher: Oxford University Press

Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.
Nonlinear Regression with R
Language: en
Pages: 148
Authors: Christian Ritz, Jens Carl Streibig
Categories: Mathematics
Type: BOOK - Published: 2008-12-11 - Publisher: Springer Science & Business Media

- Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.
Nonlinear Regression
Language: en
Pages: 768
Authors: George A. F. Seber, C. J. Wild
Categories: Mathematics
Type: BOOK - Published: 2005-02-25 - Publisher: John Wiley & Sons

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future
Robust Nonlinear Regression
Language: en
Pages: 258
Authors: Hossein Riazoshams, Habshah Midi, Gebrenegus Ghilagaber
Categories: Mathematics
Type: BOOK - Published: 2018-08-20 - Publisher: John Wiley & Sons

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 nonlinear regression and focuses on outlier effects.
Asymptotic Theory of Nonlinear Regression
Language: en
Pages: 330
Authors: A.A. Ivanov
Categories: Mathematics
Type: BOOK - Published: 2013-04-17 - Publisher: Springer Science & Business Media

Let us assume that an observation Xi is a random variable (r.v.) with values in 1 1 (1R1 , 8 ) and distribution Pi (1R1 is the real line, and 8 is the cr-algebra of its Borel subsets). Let us also assume that the unknown distribution Pi belongs to a