Publication
Title
Deepest regression in analytical chemistry
Author
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.
Language
English
Source (journal)
Analytica chimica acta. - Amsterdam
Source (book)
7th International Conference on Chemometrics in Analytical Chemistry, OCT 16-20, 2000, ANTWERP, BELGIUM
Publication
Amsterdam : Elsevier science bv, 2001
ISSN
0003-2670
Volume/pages
446:1-2(2001), p. 245-256
ISI
000172309400023
Full text (Publishers DOI)
Full text (publishers version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 03.01.2013
Last edited 25.04.2017
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