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Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS and R Examples PDF

248 Pages·2003·17.82 MB·English
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About Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS and R Examples

This book 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 program nls2 implemented in S-PLUS.

Detailed Information

Author:Sylvie Huet, Anne Bouvier, Marie-Anne Poursat, Emmanuel Jolivet
Publication Year:2003
ISBN:9780387400815
Pages:248
Language:English
File Size:17.82
Format:PDF
Price:FREE
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