Nonlinear Regression with R

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ritz, Christian. (Editor), Streibig, Jens Carl. (Editor)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York, 2009.
• Series: Use R
• Subjects: Statistics.; Toxicology.; Epidemiology.; Forests and forestry.; Mathematical statistics.; Engineering.; Statistical Theory and Methods.; Pharmacology/Toxicology.; Computational Intelligence.; Forestry.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-09616-2

R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the R environ...

Table of Contents:

• Introduction
• Getting started
• Starting values and self starters
• More on nls ()
• Model diagnostics
• Remedies for model variations
• Uncertainty, hypothesis testing and model selection
• Grouped data
• Appendix A: Datasets and models
• Appendix B: Self starter functions
• Appendix C: Packages and functions
• References
• Index.