This book provides the user with a quide to data analysis using nonlinear regression models. The book emphasizes examples in biology and agriculture and does not include any proofs. The second edition includes several new topics, such as binominal, multinomial, and Poisson non-linear models.

Klappentext

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.

Inhalt

Nonlinear Regression Model and Parameter Estimation.- Accuracy of Estimators, Confidence Intervals and Tests.- Variance Estimation.- Diagnostics of Model Misspecification.- Calibration and Prediction.- Binomial Nonlinear Models.- Multinomial and Poisson Nonlinear Models.