An edition of Statistical tools for nonlinear regression
(1996)
Statistical tools for nonlinear regression
a practical guide with S-PLUS examples
by Sylvie Huet, Annie Bouvier, Marie-Anne Gruet, and Emmanuel Jolivet
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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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| Edition | Availability |
|---|---|
1
Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS Examples
2013, Springer London, Limited
in English
147572523X 9781475725230
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2
Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS and R Examples
2006, Springer London, Limited
in English
0387215743 9780387215747
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zzzz
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3
Statistical Tools for Nonlinear Regression: A Practical Guide With S-Plus Examples (Springer Series in Statistics)
June 1996, Springer-Verlag Telos
in English
0387947272 9780387947273
|
zzzz
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4
Statistical tools for nonlinear regression: a practical guide with S-PLUS examples
1996, Springer
in English
0387947272 9780387947273
|
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Book Details
Edition Notes
Includes bibliographical references (p. [149]-151) and index.
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| September 28, 2024 | Edited by MARC Bot | import existing book |
| July 7, 2019 | Created by MARC Bot | import existing book |