Title
Deepest regression in analytical chemistry Deepest regression in analytical chemistry
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
article
Publication
Amsterdam :Elsevier science bv ,
Subject
Chemistry
Source (journal)
Analytica chimica acta. - Amsterdam
Source (book)
7th International Conference on Chemometrics in Analytical Chemistry, OCT 16-20, 2000, ANTWERP, BELGIUM
Volume/pages
446(2001) :1-2 , p. 245-256
ISSN
0003-2670
ISI
000172309400023
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Recently the concept of regression depth has been introduced [J. Am. Stat. Assoc. 94 (1999) 388]. The deepest regression (DR) is a method for linear regression which is defined as the fit with the best depth relative to the data. In this paper we explain the properties of the DR and give some applications of DR in analytical chemistry which involve regression through the origin, polynomial regression, the Michaelis-Menten model, and censored responses. (C) 2001 Elsevier Science B.V. All rights reserved.
E-info
https://repository.uantwerpen.be/docman/iruaauth/c5df4f/0c36030.pdf
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