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Nonlinear Estimation /

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Non-Linear Estimation is a handbook for the practical statistician or modeller interested in fitting and interpreting non-linear models with the aid of a computer. A major theme of the book is the use of 'stable parameter systems'; these provide rapid convergence of optimization algorithms...

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Bibliographic Details
Main Author: Ross, Gavin J. S.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York, 1990.
Series:Springer series in statistics.
Subjects:
Statistics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Models, Parameters, and Estimation
  • Transformations of Parameters
  • Inference and Stable Transformations
  • The Geometry of Nonlinear Inference
  • Computing Methods for Nonlinear Modeling
  • Practical Applications of Nonlinear Modeling
  • A Program for Fitting Non-linear Models, MLP
  • Appendix
  • References
  • Author Index
  • Subject Index.