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Nonlinear Statistical Models

  • Andrej Pázman

Part of the Mathematics and Its Applications book series (MAIA, volume 254)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Andrej Pázman
    Pages 1-6
  3. Andrej Pázman
    Pages 7-33
  4. Andrej Pázman
    Pages 55-79
  5. Andrej Pázman
    Pages 215-247
  6. Back Matter
    Pages 248-259

About this book

Introduction

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.

Keywords

Estimator Moment Parameter linear regression probability

Authors and affiliations

  • Andrej Pázman
    • 1
  1. 1.Faculty of Mathematics and PhysicsComenius UniversityBratislavaSlovak Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-2450-0
  • Copyright Information Springer Science+Business Media B.V. 1993
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-4262-0
  • Online ISBN 978-94-017-2450-0
  • Buy this book on publisher's site
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