Seber / Wild Nonlinear Regression

1. Auflage 2005
ISBN: 978-0-471-72530-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 792 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

WILEY-INTERSCIENCE PAPERBACK SERIES
The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists.
From the Reviews of Nonlinear Regression
"A very good book and an important one in that it is likely tobecome a standard reference for all interested in nonlinearregression; and I would imagine that any statistician concernedwith nonlinear regression would want a copy on his shelves."
-The Statistician
"Nonlinear Regression also includes a reference list of over 700entries. The compilation of this material and cross-referencing ofit is one of the most valuable aspects of the book. NonlinearRegression can provide the researcher unfamiliar with a particularspecialty area of nonlinear regression an introduction to that areaof nonlinear regression and access to the appropriate references .. . Nonlinear Regression provides by far the broadest discussion ofnonlinear regression models currently available and will be avaluable addition to the library of anyone interested inunderstanding and using such models including the statisticalresearcher."
-Mathematical Reviews

Autoren/Hrsg.

Seber, George A. F.

Wild, C. J.

Inhaltsverzeichnis

1. Model Building.
2. Estimation Methods.
3. Commonly Encountered Problems.
4. Measures of Curvature and Nonlinearity.
5. Statistical Inference.
6. Autocorrelated Errors.
7. Growth Models.
8. Compartmental Models.
9. Multiphase and Spline Regressions.
10. Errors-In-Variables Models.
11. Multiresponse Nonlinear Models.
12. Asymptotic Theory.
13. Unconstrained Optimization.
14. Computational Methods for Nonlinear Least Squares.
15. Software Considerations.
Appendix A. Vectors and Matrices
Appendix B. Differential Geometry.
Appendix C. Stochastic Differential Equations.
Appendix D. Multiple Linear Regression.
Appendix E. Minimization Subject to LinearConstraints.
References.
Author Index.
Subject Index.

Über Autor(innen)

George A.F. Seber and Christopher J. Wild are professors in the Department of Statistics at The University of Auckland in New Zealand.