Skip navigation
Skip navigation
Open Research will be down for maintenance between 8:00 and 8:15 am on Tuesday, December 1 2020.

Bias reduction in transfer function identification

Anderson, Brian; Gevers, Michel


When one random variable is estimated from another measured random variable through a nonlinear mapping constituting the estimator, then any independent additive noise present in the measured variable creates a bias error in the estimated variable. This occurs even if the added noise has zero mean and symmetric density. This bias error can be computed approximately using the second derivative of the mapping when this mapping is available analytically, and hence a bias-corrected estimate can be...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
Source: Proceedings of the IEEE Conference on Decision and Control
DOI: 10.1109/CDC.2012.6427054


File Description SizeFormat Image
01_Anderson_Bias_reduction_in_transfer_2012.pdf275.87 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator