Nonlinear Regression

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John Wiley & Sons, 25 feb 2005 - 792 páginas
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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

 

Índice

1 Model Building
1
2 Estimation Methods
21
3 Commonly Encountered Problems
91
4 Measures of Curvature and Nonlinearity
127
5 Statistical Inference
191
6 Autocorrelated Errors
271
7 Growth Models
325
8 Compartmental Models
367
11 Multiresponse Nonlinear Models
529
12 Asymptotic Theory
563
13 Unconstrained Optimization
587
14 Computational Methods for Nonlinear Least Squares
619
15 Software Considerations
661
APPENDIXES
677
References
711
Author Index
745

9 Muitiphase and Spline Regressions
433
10 ErrorsInVariables Models
491

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Sobre el autor (2005)

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

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