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

• Main Authors: Huet, S. (Author), Bouvier, A. (Author), Poursat, M. -A. (Author), Jolivet, E. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York, 2004.
• Edition: Second Edition.
• Series: Springer Series in Statistics,
• Subjects: Statistics.; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.
• Online Access: View fulltext via EzAccess

Statistical Tools for Nonlinear Regression, (Second Edition), presents methods for analyzing data using parametric nonlinear regression models. The new edition has been expanded to include binomial, multinomial and Poisson non-linear models. Using examples from experiments in agronomy and biochemist...

Table of Contents:

• 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.