Nonlinear Regression
Language: English
Published by John Wiley and Sons Ltd, 2003
Series: Book 112 of 358 - Wiley Series in Probability and Statistics
- Softcover
- New
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condition: New
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Add to basketItem description from seller
Provides a survey of aspects of model building and statistical inference. This book presents a synthesis of theoretical literature, requiring only familiarity with linear regression methods. It contains three chapters on central computational questions that comprise a self contained introduction to unconstrained optimization. Series: Wiley Series in Probability and Statistics. Num Pages: 792 pages, black & white illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 157 x 43. Weight in Grams: 1130. . 2003. New ed. Paperback. . . . . Books ship from the US and Ireland.
Seller Inventory # V9780471471356
- Title
- Nonlinear Regression
- Author
- George A. F. Seber
- Publisher
- John Wiley and Sons Ltd
- Publication year
- 2003
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0471471356
- ISBN 13
- 9780471471356
- Series
- Book 112 of 358: Wiley Series in Probability and Statistics
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
From the Reviews of Nonlinear Regression
"A very good book and an important one in that it is likely to become a standard reference for all interested in nonlinear regression; and I would imagine that any statistician concerned with nonlinear regression would want a copy on his shelves."
–The Statistician
"Nonlinear Regression also includes a reference list of over 700 entries. The compilation of this material and cross-referencing of it is one of the most valuable aspects of the book. Nonlinear Regression can provide the researcher unfamiliar with a particular specialty area of nonlinear regression an introduction to that area of nonlinear regression and access to the appropriate references . . . Nonlinear Regression provides by far the broadest discussion of nonlinear regression models currently available and will be a valuable addition to the library of anyone interested in understanding and using such models including the statistical researcher."
–Mathematical Reviews
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