20. Non-Linear Regression
Published Online: 6 NOV 2012
DOI: 10.1002/9781118448908.ch20
Copyright © 2013 John Wiley & Sons, Ltd
Book Title
The R Book, Second Edition
Additional Information
How to Cite
Crawley, M. J. (2012) Non-Linear Regression, in The R Book, Second Edition, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118448908.ch20
Publication History
- Published Online: 6 NOV 2012
- Published Print: 7 DEC 2012
ISBN Information
Print ISBN: 9780470973929
Online ISBN: 9781118448908
- Summary
- Chapter
Keywords:
- non-linear regression;
- comparing Michaelis–Menten and asymptotic exponential;
- generalized additive models;
- grouped data for non-linear estimation;
- non-linear time series models (temporal pseudoreplication);
- self-starting functions, Michaelis–Menten model;
- self-starting asymptotic exponential model;
- self-starting logistic;
- self-starting first-order compartment function;
- bootstrapping, family of non-linear regressions
Summary
This chapter contains sections titled:
-
Comparing Michaelis-Menten and asymptotic exponential
-
Generalized additive models
-
Grouped data for non-linear estimation
-
Non-linear time series models (temporal pseudoreplication)
-
Self-starting functions
-
Bootstrapping a family of non-linear regressions