Identification of significant factors by an extension of ANOVA-PCA based on multi-block analysis

Chemometrics and Intelligent Laboratory Systems

Volumn 106, Issue 2, 2011, Pages 173-182

  Jouan Rimbaud Bouveresse, D ^a,b   Pinto, R Climaco ^b,c   Schmidtke, L M ^d   Locquet, N ^a,b   Rutledge, D N ^a,b  

^a Université Paris Saclay   (France)

^b AGROPARISTECH   (France)

^c UMEÅ UNIVERSITY   (Sweden)

^d CHARLES STURT UNIVERSITY   (Australia)

Author keywords

ANOVA PCA; ComDim; Common Component and Specific Weights Analysis; F test; Multi block analysis

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; CALCULATION; COMMON COMPONENT AND SPECIFIC WEIGHT ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REFERENCE VALUE; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL SIGNIFICANCE;

EID: 79955105296     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2010.05.005     Document Type: Article

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