Statistical tools for nonlinear regression
Sylvie Huet, Annie Bouvier, Marie-Anne Gruet, Emmanuel Jolivet · 1996
Where to buy
Check today’s price on Amazon. We do not show prices because they change daily.
View on AmazonAffiliate link. As an Amazon Associate we earn from qualifying purchases.
About the book
Statistical Tools for Nonlinear Regression presents methods for analyzing data using parametric nonlinear regression models. Using examples from experiments in agronomy and biochemistry, it shows how to apply the methods. Aimed at scientists who are not familiar with statistical theory, it concentrates on presenting the methods in an intuitive way rather than developing the theoretical grounds. The book includes methods based on classical nonlinear regression theory and more modern methods, such as the bootstrap, that have proven effective in practice. The examples are analyzed with the software nls2 implemented in S-PLUS.
Book details
- Year
- 1996
- Language
- English
- Publisher
- Springer-Verlag Telos
- Editions
- 4
- Pages
- 154
- ISBN
- 9780387947273
Data source: Wikidata
