Introduction to Total Least Squares and Errors-In-Variables Modeling
Sabine Van Huffel () and
Philippe Lemmerling ()
Additional contact information
Sabine Van Huffel: ESAT-SISTA, K. U.Leuven
Philippe Lemmerling: ESAT-SISTA, K. U.Leuven
A chapter in Total Least Squares and Errors-in-Variables Modeling, 2002, pp 1-11 from Springer
Abstract:
Abstract The main purpose of this book is to present an overview of the progress in the last five years of a modeling technique which is known as Total Least Squares (TLS) in computational mathematics and engineering, and as Errors-In-Variables (EIV) modeling or orthogonal regression in the statistical community.
Keywords: Singular Vector; Total Little Square; Orthogonal Regression; Total Little Square Solution; Minor Component Analysis (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations: View citations in EconPapers (1)
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:978-94-017-3552-0_1
Ordering information: This item can be ordered from
http://www.springer.com/9789401735520
DOI: 10.1007/978-94-017-3552-0_1
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 ().