Outliers in partial least squares regression: Application to calibration of wine grade with mean infrared data

Analytica Chimica Acta

Volumn 544, Issue 1-2 SPEC. ISS., 2005, Pages 60-70

  Lleti R ^a   Melendez E ^a   Ortiz, M C ^a   Sarabia, L A ^a   Sanchez M S ^a  

^a UNIVERSITY OF BURGOS   (Spain)

Author keywords

Alcoholic grade; Cluster analysis; Contingence table; Genetic algorithm; Mean infrared spectroscopy; MIR; Outlier; Partial least squares regression; Wine

Indexed keywords

CALIBRATION; INFRARED SPECTROSCOPY; MATHEMATICAL MODELS; NONDESTRUCTIVE EXAMINATION; PROCESS CONTROL; REGRESSION ANALYSIS;

CALIBRATION TRANSFER; MEAN INFRARED (MIR) SPECTROSCOPY; OUTLIERS; PARTIAL LEAST SQUARE REGRESSION (PLSR);

WINE;

ALCOHOL;

CALIBRATION; CLIMATE; CLUSTER ANALYSIS; CONFERENCE PAPER; GENETIC ALGORITHM; LAND BIOME; MATHEMATICAL MODEL; MEAN INFRARED SPECTROSCOPY; METHODOLOGY; PARAMETER; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; SPECTROSCOPY; VALIDATION PROCESS; VINEYARD; WINE INDUSTRY;

EID: 20444433629     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2005.03.075     Document Type: Conference Paper

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