Improving the detection of significant factors using ANOVA-PCA by selective reduction of residual variability

Analytica Chimica Acta

Volumn 653, Issue 2, 2009, Pages 131-142

  Climaco Pinto, R ^a,b   Barros, A S ^b   Locquet, N ^a   Schmidtke, L ^c   Rutledge, D N ^a  

^a AGROPARISTECH   (France)

^b UNIVERSITY OF AVEIRO   (Portugal)

^c CHARLES STURT UNIVERSITY   (Australia)

Author keywords

ANOVA PCA; ASCA; Discrimination; Error removal

Indexed keywords

DATA SETS; ELIMINATION PROCEDURE; ERROR REMOVAL; FIRST PRINCIPAL COMPONENTS; RESIDUAL ERROR; RESIDUAL VARIANCE; SELECTIVE REDUCTION; SIGNIFICANT FACTORS;

ANALYSIS OF VARIANCE (ANOVA);

ANALYSIS OF VARIANCE; ANALYTICAL ERROR; ARTICLE; CALCULATION; CONTROLLED STUDY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; THEORY; VARIANCE;

ANALYSIS OF VARIANCE; DATABASES, FACTUAL; DISCRIMINANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; WINE;

EID: 71849118284     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2009.09.016     Document Type: Article

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