| Nonlinear Statistical Models 1993 Edition Contributor(s): Pázman, Andrej (Author) |
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ISBN: 0792322479 ISBN-13: 9780792322474 Publisher: Springer OUR PRICE: $208.99 Product Type: Hardcover - Other Formats Published: June 1993 Annotation: Nonlinear statistical modelling is an area of growing importance. This monograph presents mostly new results and methods concerning the nonlinear regression model. Among the aspects which are considered are linear properties of nonlinear models, multivariate nonlinear regression, intrinsic and parameter effect curvature, algorithms for calculating the L2-estimator and both local and global approximation. In addition to this a chapter has been added on the large topic of nonlinear exponential families. The volume will be of interest to both experts in the field of nonlinear statistical modelling and to those working in the identification of models and optimization, as well as to statisticians in general. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General |
| Dewey: 519.536 |
| LCCN: 93007412 |
| Series: Mathematics and Its Applications |
| Physical Information: 0.85" H x 6.92" W x 9.1" (1.17 lbs) 260 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Nonlinear statistical modelling is an area of growing importance. This monograph presents mostly new results and methods concerning the nonlinear regression model. Among the aspects which are considered are linear properties of nonlinear models, multivariate nonlinear regression, intrinsic and parameter effect curvature, algorithms for calculating the L2-estimator and both local and global approximation. In addition to this a chapter has been added on the large topic of nonlinear exponential families. The volume will be of interest to both experts in the field of nonlinear statistical modelling and to those working in the identification of models and optimization, as well as to statisticians in general. |
