9780471471356-0471471356-Nonlinear Regression

Nonlinear Regression

ISBN-13: 9780471471356
ISBN-10: 0471471356
Author: George A.F. Seber
Publication date: 2003
Publisher: Wiley-Interscience
Format: Paperback 792 pages
FREE US shipping
Buy

From $156.09

Book details

ISBN-13: 9780471471356
ISBN-10: 0471471356
Author: George A.F. Seber
Publication date: 2003
Publisher: Wiley-Interscience
Format: Paperback 792 pages

Summary

Nonlinear Regression (ISBN-13: 9780471471356 and ISBN-10: 0471471356), written by authors George A.F. Seber, was published by Wiley-Interscience in 2003. With an overall rating of 4.3 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Nonlinear Regression (Paperback) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

WILEY-INTERSCIENCE PAPERBACK SERIES

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

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book