Title: Deepest regression in analytical chemistry
Authors: Rousseeuw, Peter ×
Van Aelst, Stefan
Rambali, B.
Smeyers-Verbeke, J. #
Issue Date: 2001
Publisher: Elsevier
Series Title: Analytica Chimica Acta vol:446 issue:1-2 pages:245-256
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.
ISSN: 0003-2670
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Statistics Section
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science