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Volumn 29, Issue 1, 2010, Pages 101-109

Sum of ranking differences compares methods or models fairly

Author keywords

HPLC column selection; Method comparison; Modeling; Principal component analysis (PCA); Quantitative structure activity relationship (QSAR); Quantitative Structure retention relationships (QSRR); Ranking; Sum of ranking differences (SRD); Toxicity prediction; Variable selection

Indexed keywords

QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS; QUANTITATIVE STRUCTURE-RETENTION RELATIONSHIP; SELECTION METHODS; TOXICITY PREDICTIONS; VARIABLE SELECTION;

EID: 73549117440     PISSN: 01659936     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trac.2009.09.009     Document Type: Review
Times cited : (257)

References (59)
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  • 47
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    • K. Héberger, How can multivariate data analysis be useful for chromatographers?, in: J. Lapynska (Editor), Book of abstracts KL07, 19th Int. Symp. Pharm. Biomed. Anal., Gdansk, Poland, 8-12 June 2008, p. 19.
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    • K. Héberger, Evaluation of Chromatographic Data. Sum of Ranking Differences, in: T.L. Pap (Editor), Book of abstracts KN01, 4th Int. Symp. Comput. Appl. Chemometr. Anal. Chem., Balatonalmádi, Hungary, 1-5 September 2008.
    • K. Héberger, Evaluation of Chromatographic Data. Sum of Ranking Differences, in: T.L. Pap (Editor), Book of abstracts KN01, 4th Int. Symp. Comput. Appl. Chemometr. Anal. Chem., Balatonalmádi, Hungary, 1-5 September 2008.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.