书名：Nonlinear Regression
作者：George A. F. Seber, C. J. Wild
http://www.amazon.com/Nonlinear-Regression-Wiley-Probability-Statistics/dp/0471471356/ref=sr_1_2?ie=UTF8&s=books&qid=1251539928&sr=8-2

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Review
"…a classic well written book that attempts to understand statistical ideas and computing tools in building nonlinear regression." (Journal of Statistical Computation and Simulation)

"I hope that Wiley's release of this book will rekindle some interest in this important and inappropriately overlooked subject." (International Society of Clinical Biostatistics)  "...should be present in any statistical library." (Biometrical Journal)


Product Description
This text/reference provides a broad survey of aspects of model-building and statistical inference. Presents an accessible synthesis of current theoretical literature, requiring only familiarity with linear regression methods. The three chapters on central computational questions comprise a self-contained introduction to unconstrained optimization. Includes many illustrative practical examples.