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Title
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Deepest regression in analytical chemistry
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Author
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Abstract
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| 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. |
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Language
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English
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Source (journal)
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Analytica chimica acta. - Amsterdam, 1947, currens
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Source (book)
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7th International Conference on Chemometrics in Analytical Chemistry, OCT 16-20, 2000, ANTWERP, BELGIUM
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Publication
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Amsterdam
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Elsevier science bv
,
2001
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ISSN
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0003-2670
[print]
1873-4324
[online]
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DOI
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10.1016/S0003-2670(01)01034-0
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Volume/pages
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446
:1-2
(2001)
, p. 245-256
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ISI
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000172309400023
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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