Importance of prediction outlier diagnostics in determining a successful inter-vendor multivariate calibration model transfer

Applied Spectroscopy

Volumn 61, Issue 7, 2007, Pages 747-754

  Guenard, Robert D ^a   Wehlburg, Christine M ^b   Pell, Randy J ^c   Haaland, David M ^d  

^a MERCK RESEARCH LABORATORIES   (United States)

^b MITRE CORPORATION   (United States)

^c DOW CHEMICAL COMPANY   (United States)

^d SANDIA NATIONAL LABORATORIES   (United States)

Author keywords

Calibration transfer; Hybrid calibration method; PACLS PLS; PDS; Piecewise direct standardization; Prediction augmented classical least squares partial least squares

Indexed keywords

CALIBRATION TRANSFER; HYBRID CALIBRATION METHOD; PACLS/PLS; PIECEWISE DIRECT STANDARDIZATION; PREDICTION AUGMENTED CLASSICAL LEAST;

EQUIPMENT TESTING; FOURIER TRANSFORM INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; STANDARDIZATION;

MULTIVARIANT ANALYSIS;

ARTICLE; CALIBRATION; COMMERCIAL PHENOMENA; COMPUTER; INFRARED SPECTROSCOPY; METHODOLOGY; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; REPRODUCIBILITY; STANDARD;

CALIBRATION; COMMERCE; COMPUTERS; LEAST-SQUARES ANALYSIS; MULTIVARIATE ANALYSIS; REPRODUCIBILITY OF RESULTS; SPECTROSCOPY, FOURIER TRANSFORM INFRARED;

EID: 34547319007     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/000370207781393280     Document Type: Article

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