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Table of contents (10 chapters)
Keywords
About this book
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.
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.
Authors and Affiliations
Bibliographic Information
Book Title: Nonlinear Statistical Models
Authors: Andrej Pázman
Series Title: Mathematics and Its Applications
DOI: https://doi.org/10.1007/978-94-017-2450-0
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Andrej Pázman 1993
Hardcover ISBN: 978-0-7923-2247-4Published: 30 June 1993
Softcover ISBN: 978-90-481-4262-0Published: 05 December 2010
eBook ISBN: 978-94-017-2450-0Published: 14 March 2013
Edition Number: 1
Number of Pages: X, 260