The University of Southampton
University of Southampton Institutional Repository

Consistent estimation in the bilinear multivariate errors-in-variables model

Consistent estimation in the bilinear multivariate errors-in-variables model
Consistent estimation in the bilinear multivariate errors-in-variables model
A bilinear multivariate errors-in-variables model is considered. It corresponds to an overdetermined set of linear equations AXB=C, A?Rm×n, B?Rp×q, in which the data A, B, C are perturbed by errors. The total least squares estimator is inconsistent in this case. An adjusted least squares estimator hat X is constructed, which converges to the true value X, as m -> infty, q -> infty. A small sample modification of the estimator is presented, which is more stable for small m and q and is asymptotically equivalent to the adjusted least squares estimator. The theoretical results are confirmed by a simulation study.
bilinear multivariate measurement error models, errors-in-variables models, adjusted least squares, consistency, asymptotic normality, small sample modification.
253-285
Kukush, A.
9cf76e13-c463-47c3-9467-0ae6b04df4ef
Markovsky, I.
3e68743b-f22e-4b2b-b1a8-2ba4eb036a69
Van Huffel, S.
e64be3d0-00e1-4900-ab8e-74aed4792678
Kukush, A.
9cf76e13-c463-47c3-9467-0ae6b04df4ef
Markovsky, I.
3e68743b-f22e-4b2b-b1a8-2ba4eb036a69
Van Huffel, S.
e64be3d0-00e1-4900-ab8e-74aed4792678

Kukush, A., Markovsky, I. and Van Huffel, S. (2003) Consistent estimation in the bilinear multivariate errors-in-variables model. Metrika, 57 (3), 253-285.

Record type: Article

Abstract

A bilinear multivariate errors-in-variables model is considered. It corresponds to an overdetermined set of linear equations AXB=C, A?Rm×n, B?Rp×q, in which the data A, B, C are perturbed by errors. The total least squares estimator is inconsistent in this case. An adjusted least squares estimator hat X is constructed, which converges to the true value X, as m -> infty, q -> infty. A small sample modification of the estimator is presented, which is more stable for small m and q and is asymptotically equivalent to the adjusted least squares estimator. The theoretical results are confirmed by a simulation study.

Text
axb_published.pdf - Other
Download (493kB)

More information

Published date: 2003
Keywords: bilinear multivariate measurement error models, errors-in-variables models, adjusted least squares, consistency, asymptotic normality, small sample modification.
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 263292
URI: http://eprints.soton.ac.uk/id/eprint/263292
PURE UUID: 038b04a8-42c6-4196-ab40-e2d9febd79cc

Catalogue record

Date deposited: 06 Jan 2007
Last modified: 14 Mar 2024 07:28

Export record

Contributors

Author: A. Kukush
Author: I. Markovsky
Author: S. Van Huffel

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×