Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples

by Sylvie Huet, Anne Bouvier, Marie-Anne Poursat

Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. The nls2 package is implemented in S-PLUS and R. Several additional tools are included in the package for calculating confidence regions for functions of parameters or calibration intervals, using classical methodology or bootstrap.

248 pages, Hardcover

First published January 1, 2003