Nonlinear Regression

GAF Seber (Autor)

Software / Digital Media

768 Seiten

2005
John Wiley & Sons Inc (Hersteller)
9780471725312 (ISBN)

Infos

Provides a broad survey of aspects of model-building and statistical inference. This text/reference presents a synthesis of theoretical literature, requiring only familiarity with linear regression methods. It contains three chapters on central computational questions which comprise a self-contained introduction to unconstrained optimization.

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This text/reference provides a broad survey of aspects of model-building and statistical inference. It 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. It includes many illustrative practical examples.

Autor

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

Inhalt

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. Appendix B. Differential Geometry. Appendix C. Stochastic Differential Equations. Appendix D. Multiple Linear Regression. Appendix E. Minimization Subject to Linear Constraints. References. Author Index. Subject Index.

Produkt-Details

• Erscheint lt. Verlag: 1.2.2005
• Verlagsort: New York
• Sprache: englisch
• Gewicht: 100 g
• Themenwelt: Mathematik / Informatik ► Mathematik
• ISBN-13: 9780471725312 / 9780471725312
• Zustand: Neuware