Title of article
Deepest regression in analytical chemistry
Author/Authors
Rousseeuw، P. J. نويسنده , , Aelst، S. Van نويسنده , , Rambali، B. نويسنده , , Smeyers-Verbeke، J. نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2001
Pages
-244
From page
245
To page
0
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
FT-IR , Fibre optic reflectance spectroscopy , PCA , MAHALANOBIS DISTANCE
Journal title
Analytica Chimica Acta
Serial Year
2001
Journal title
Analytica Chimica Acta
Record number
48881
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