Nonlinear Statistical Models

Andrej Pázman

ISBN 10: 0792322479 / ISBN 13: 9780792322474

Published by Springer Netherlands, Springer Netherlands Jun 1993, 1993

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 274 pp. Englisch.

Seller Inventory # 9780792322474

Bibliographic Details

• Title: Nonlinear Statistical Models
• Publisher: Springer Netherlands, Springer Netherlands Jun 1993
• Publication Date: 1993
• Language: English
• ISBN 10: 0792322479
• ISBN 13: 9780792322474
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 20D millimeters 241 millimeters width by 160 millimeters height by 20 millimeters depth
• Weight: 579 grams

About this title

Synopsis

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.