Presenting methods for analyzing data using parametric nonlinear regression models, this text uses examples from experiments in agronomy and biochemistry, and shows how to apply the methods. The book includes methods based on classical nonlinear regression theory and more modern methods such as the bootstrap. The examples are analyzed with the software program nls2 implemented in S-PLUS. Examples in biology and agriculture are emphasized.
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Presenting methods for analyzing data using parametric nonlinear regression models, this text uses examples from experiments in agronomy and biochemistry, and shows how to apply the methods. The book includes methods based on classical nonlinear regression theory and more modern methods such as the bootstrap. The examples are analyzed with the software program nls2 implemented in S-PLUS. Examples in biology and agriculture are emphasized.
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Add this copy of Statistical Tools for Nonlinear Regression: a Practical to cart. £68.22, new condition, Sold by Just one more Chapter rated 4.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 1996 by Springer-Verlag.
