Statistical Tools for Nonlinear Regression: A Practical Guide With S-Plus Examples (Springer Series in Statistics) - Hardcover
Synopsis
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. This book provides the user with a safe quide to data analysis using nonlinear regression models. The book emphasizes examples in biology and agriculture and does not include any proofs.
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Statistical Tools for Nonlinear Regression: A Practical Guide With S-Plus Examples (Springer Series in Statistics)
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Statistical Tools for Nonlinear Regression: A Practical Guide With S-Plus Examples (Springer Series in Statistics)
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Statistical Tools for Nonlinear Regression: A Practical Guide With S-Plus Examples (Springer Series in Statistics)
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Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS Examples (Springer Series in Statistics)
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