Statistical Tools for Nonlinear Regression - Info and Reading Options
A Practical Guide With S-Plus Examples (Springer Series in Statistics)
By Sylvie Huet, Annie Bouvier, Marie-Anne Gruet and Emmanuel Jolivet
"Statistical Tools for Nonlinear Regression" was published by Springer-Verlag Telos in June 1996, it has 154 pages and the language of the book is English.
“Statistical Tools for Nonlinear Regression” Metadata:
- Title: ➤ Statistical Tools for Nonlinear Regression
- Authors: Sylvie HuetAnnie BouvierMarie-Anne GruetEmmanuel Jolivet
- Language: English
- Number of Pages: 154
- Publisher: Springer-Verlag Telos
- Publish Date: June 1996
“Statistical Tools for Nonlinear Regression” Subjects and Themes:
- Subjects: ➤ Regressieanalyse - S-PLUS - Parameter estimation - Regression analysis - Nichtlineare Regression - Nonlinear theories - Niet-lineaire modellen - Statistics - Engineering - Statistics, general - Engineering, general
Edition Identifiers:
- The Open Library ID: OL7448569M - OL19903903W
- Online Computer Library Center (OCLC) ID: 34356962
- Library of Congress Control Number (LCCN): 96013753
- ISBN-13: 9780387947273
- ISBN-10: 0387947272
- All ISBNs: 0387947272 - 9780387947273
AI-generated Review of “Statistical Tools for Nonlinear Regression”:
"Statistical Tools for Nonlinear Regression" Description:
The Open Library:
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.
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