Nonlinear Statistical Models (Paperback) (ISBN-13: 9789048142620)

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.


Author: Andrej Pázman
ISBN-10: 9048142628
ISBN-13: 9789048142620
Publisher: Springer
Language: English
Published: 12/05/2010
Pages: 260
Format: Paperback
Weight: 0.85lbs
Size: 9.21h x 6.14w x 0.57d