Multivariate range modeling, a new technique for multivariate class modeling. The uncertainty of the estimates of sensitivity and specificity

Analytica Chimica Acta

Volumn 622, Issue 1-2, 2008, Pages 85-93

  Forina, M ^a   Oliveri, P ^a   Casale, M ^a   Lanteri, S ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Chemometrics; SIMCA; UNEQ

Indexed keywords

DISCRIMINANT ANALYSIS; ERROR ANALYSIS; ESTIMATION; NORMAL DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY ANALYSIS; VARIATIONAL TECHNIQUES;

CLASS MODELING; CROSS-VALIDATION (CV); ELSEVIER (CO); ERROR RATE (ER); LINEAR DISCRIMINANT ANALYSIS (CLDA); MODELING TECHNIQUES; MULTIVARIATE NORMAL DISTRIBUTIONS; PERFORMANCE PARAMETERS; PRINCIPAL COMPONENTS; SENSITIVITY AND SPECIFICITY; SIMCA MODELS;

UNCERTAINTY ANALYSIS;

ARTICLE; CHEMOMETRIC ANALYSIS; DIAGNOSTIC ERROR; DISCRIMINANT ANALYSIS; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; MULTIVARIATE ANALYSIS; MULTIVARIATE RANGE MODELING; NONHUMAN; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SIMCA MODEL; UNCERTAINTY; UNEQ MODEL;

EID: 46049108334     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2008.05.065     Document Type: Article

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