Nonlinear Regression

G. A. F. Seber, C. J. Wild (Autoren)

Buch | Hardcover

790 Seiten

1989
John Wiley & Sons Inc (Verlag)
978-0-471-61760-0 (ISBN)

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The aim of this text is to provide 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, and many illustrative practical examples.

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.

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.

Erscheint lt. Verlag	19.4.1989
Reihe/Serie	Probability & Mathematical Statistics S.
Zusatzinfo	index
Verlagsort	New York
Sprache	englisch
Maße	152 x 229 mm
Gewicht	1276 g
Themenwelt	Mathematik / Informatik ► Mathematik
ISBN-10	0-471-61760-1 / 0471617601
ISBN-13	978-0-471-61760-0 / 9780471617600
Zustand	Neuware