Robust Parameter Estimation Based on Huber Estimator in Systems of Differential Equations
Tanja Binder () and
Ekaterina Kostina ()
Additional contact information
Tanja Binder: University of Marburg, Department of Mathematics and Computer Science
Ekaterina Kostina: University of Marburg, Department of Mathematics and Computer Science
A chapter in Modeling, Simulation and Optimization of Complex Processes, 2012, pp 13-23 from Springer
Abstract:
Abstract The paper discusses the use of the Huber estimator for parameter estimation problems which are constrained by a system of ordinary differential equations. In particular, a local and global convergence analysis for the estimation with the Huber estimator is given. For comparison, numerical results are given for an estimation with this estimator and both l 1 estimation and the least squares approach for a parameter estimation problem for a chemical process.
Keywords: Line Search; Strict Complementarity; Parameter Estimation Problem; Exact Penalty Function; Partition Constant (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-25707-0_2
Ordering information: This item can be ordered from
http://www.springer.com/9783642257070
DOI: 10.1007/978-3-642-25707-0_2
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().