New robust bilinear least squares method for the analysis of spectral-pH matrix data

Applied Spectroscopy

Volumn 59, Issue 7, 2005, Pages 926-933

  Goicoechea, Hector C ^b   Olivieri, Alejandro C ^a  

^a UNIVERSIDAD NACIONAL DE ROSARIO   (Argentina)

^b UNIVERSIDAD NACIONAL DEL LITORAL   (Argentina)

Author keywords

Ascorbic acid; Bilinear least squares; Multivariate calibration; Multivariate curve resolution; Parallel factor analysis; Spectral pH matrix data

Indexed keywords

CALIBRATION; CHEMICAL REACTIONS; COMPUTER SIMULATION; DATA ACQUISITION; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MONTE CARLO METHODS;

ASCORBIC ACID; BILINEAR LEAST SQUARES (BLLS); MULTIVARIATE CALIBRATION; MULTIVARIATE CURVE RESOLUTION (MCR); PARALLEL FACTOR ANALYSIS (PARAFAC); SPECTRAL-PH MATRIX DATA;

PH;

ASCORBIC ACID;

ALGORITHM; ARTICLE; BEVERAGE; CHEMICAL MODEL; CHEMISTRY; COMPARATIVE STUDY; COMPUTER SIMULATION; EVALUATION; FRUIT; METHODOLOGY; PH; REGRESSION ANALYSIS; SPECTROSCOPY; STATISTICAL MODEL; SWEET ORANGE;

ALGORITHMS; ASCORBIC ACID; BEVERAGES; CITRUS SINENSIS; COMPUTER SIMULATION; FRUIT; HYDROGEN-ION CONCENTRATION; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MODELS, CHEMICAL; SPECTRUM ANALYSIS;

EID: 22744452188     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/0003702054411643     Document Type: Article

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