DocumentCode
1082203
Title
Observability and fisher information matrix in nonlinear regression
Author
Jauffret, Claude
Author_Institution
Univ. du Sud Toulon-Var Batiment X, La Garde
Volume
43
Issue
2
fYear
2007
fDate
4/1/2007 12:00:00 AM
Firstpage
756
Lastpage
759
Abstract
This paper is devoted to the link between the Fisher information matrix (FIM) invertibility and the observability of a parameter to be estimated in a nonlinear regression problem.
Keywords
information theory; matrix algebra; regression analysis; Fisher information matrix; nonlinear regression problem; parameter estimation; Additive noise; Closed-form solution; Integral equations; Mathematics; Motion measurement; Noise measurement; Observability; Parameter estimation; Signal detection; Signal processing algorithms;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.2007.4285368
Filename
4285368
Link To Document