Nonlinear Regression with R
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...
| Corporate Author: | SpringerLink (Online service) |
|---|---|
| Other Authors: | Ritz, Christian (Editor), Streibig, Jens Carl (Editor) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2008.
|
| Series: | Use R
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
A Modern Approach to Regression with R
by: Sheather, Simon
Published: (2009) -
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
by: Marin, Jean-Michel, et al.
Published: (2007) -
Statistical Modelling and Regression Structures Festschrift in Honour of Ludwig Fahrmeir /
Published: (2010) -
Survival Analysis A Self-Learning Text /
by: Kleinbaum, David G., et al.
Published: (2005) -
Introductory Time Series with R
by: Metcalfe, Andrew V., et al.
Published: (2009)