Comparison of supervised pattern recognition methods with McNemar's statistical test: Application to qualitative analysis of sugar beet by near-infrared spectroscopy

Analytica Chimica Acta

Volumn 477, Issue 2, 2003, Pages 187-200

  Roggo, Y ^a   Duponchel, L ^a   Huvenne, J P ^a  

^a UNIVERSITÉ DES SCIENCES ET TECHNOLOGIES DE LILLE   (France)

Author keywords

Classification; McNemar's test; NIRS; Sugar beet; Supervised pattern recognition method

Indexed keywords

SUGAR;

ACCURACY; ANALYTIC METHOD; ARTICLE; CHEMICAL ANALYSIS; CROP; DATA ANALYSIS; DISEASE RESISTANCE; GEOGRAPHY; INFRARED SPECTROSCOPY; INTERMETHOD COMPARISON; MCNEMAR TEST; NERVE CELL NETWORK; PARAMETER; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; SAMPLE; STATISTICAL ANALYSIS;

BETA VULGARIS SUBSP. VULGARIS; PROCRUSTES;

EID: 0037415309     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0003-2670(02)01422-8     Document Type: Article

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