Title of article
Deepest regression in analytical chemistry Original Research Article
Author/Authors
P.J. Rousseeuw، نويسنده , , S. Van Aelst، نويسنده , , B. Rambali، نويسنده , , J. Smeyers-Verbeke، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2001
Pages
12
From page
243
To page
254
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.
Keywords
robustness , Michaelis–Menten model , Regression depth
Journal title
Analytica Chimica Acta
Serial Year
2001
Journal title
Analytica Chimica Acta
Record number
1029814
Link To Document