On the selection of samples for multivariate regression analysis: Application to near-infrared (NIR) calibration models for the prediction of pulp yield in Eucalyptus nitens

Canadian Journal of Forest Research

Volumn 38, Issue 10, 2008, Pages 2626-2634

  Mora, Christian R ^a   Schimleck, Laurence R ^a  

^a UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DESIGN; DESIGN OF EXPERIMENTS; ERRORS; FORECASTING; INFRARED DEVICES; KRAFT PROCESS; KRAFT PULP; PULP; REGRESSION ANALYSIS; SET THEORY;

CALIBRATION MODELS; CALIBRATION SAMPLES; COMPUTER-AIDED DESIGNS; CROSS-VALIDATION; DIFFERENT SIZES; EUCALYPTUS NITENS; INFRARED; MEASURED PROPERTIES; MODEL VALIDATIONS; MULTIVARIATE REGRESSION ANALYSES; PREDICTION ERRORS; PULP YIELDS; RANKING ALGORITHMS; SAMPLE SELECTIONS; SELECT ALGORITHMS; SELECTION METHODS; SELECTION TECHNIQUES; SPECTRAL DATUM;

MATHEMATICAL MODELS;

CALIBRATION; ECOLOGICAL MODELING; EVERGREEN TREE; MODEL VALIDATION; NEAR INFRARED; PERFORMANCE ASSESSMENT; PREDATION; REGRESSION ANALYSIS;

ALGORITHMS; CALIBRATION; ERRORS; EUCALYPTUS NITENS; FORECASTS; FORESTRY; KRAFT PULPS; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

EUCALYPTUS; EUCALYPTUS NITENS;

EID: 54349091167     PISSN: 00455067     EISSN: None     Source Type: Journal    
DOI: 10.1139/X08-099     Document Type: Article

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