Numerical methods for nonlinear estimating equations
This text provides a comprehensive study of nonlinear estimating equations and artificial likelihoods for statistical inference. It contains extensive coverage and comparison of hill climbing algorithms, which, when started at points of nonconcavity often have very poor convergence properties
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Oxford
Oxford University Press
2003, 2003
|
| Series: | Oxford statistical science series / Oxford statistical science series
|
| Subjects: | |
| Online Access: | |
| Collection: | Oxford University Press - Collection details see MPG.ReNa |
| Summary: | This text provides a comprehensive study of nonlinear estimating equations and artificial likelihoods for statistical inference. It contains extensive coverage and comparison of hill climbing algorithms, which, when started at points of nonconcavity often have very poor convergence properties |
|---|---|
| Physical Description: | xii, 309 p. ill |
| ISBN: | 9780191709258 0191709255 |