http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Statistical tools for nonlinear regression
a practical guide with S-PLUS and R examples
1 online resource (xiv, 232 pages) : illustrations.
This book provides the user with a guide to data analysis using non-linear 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.
Preface to the Second Edition; Preface to the First Edition; 1 Nonlinear Regression Model and Parameter Estimation; 1.1 Examples; 1.2 The Parametric Nonlinear Regression Model; 1.3 Estimation; 1.4 Applications; 1.5 Conclusion and References; 1.6 Using nls2; 2 Accuracy of Estimators, Confidence Intervals and Tests; 2.1 Examples; 2.2 Problem Formulation; 2.3 Solutions; 2.4 Applications; 2.5 Conclusion; 2.6 Using nls2; 3 Variance Estimation; 3.1 Examples; 3.2 Parametric Modeling of the Variance; 3.3 Estimation; 3.4 Tests and Confidence Regions; 3.5 Applications; 3.6 Using nls2.
Includes bibliographical references (pages 227-229) and index.