期刊
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
卷 116, 期 -, 页码 9-16出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.chemolab.2012.03.018
关键词
Third-order multivariate calibration; MATLAB program; Graphical interface; Figures of merit
类别
资金
- Universidad Nacional de Rosario
- CONICET (Consejo Nacional de Investigaciones Cientificas y Tecnicas) [PIP 1950]
- ANPCyT (Agencia Nacional de Promocion Cientifica y Tecnologica) [PICT-2010-0084]
- National Natural Science Foundation of China [21175041]
- National Basic Research Program [2012CB910602]
- Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT)
A new MATIAB graphical interface toolbox for implementing third-order multivariate calibration methodologies is discussed. Multivariate calibration 3 (MVC3) is a sequel of the already described first-order (MVC1) and second-order (MVC2) toolboxes. MVC3 accepts a variety of ASCII data for input, depending on whether the third-order data are vectorized or matricized. If required, data for sample sets are arranged into four-way arrays for processing with several quadrilinear and non-quadrilinear algorithms. Quadrilinear decomposition techniques and latent structured models based on partial least-squares regression and residual trilinearization are included in the software. Appropriate working sensor regions in the three data dimensions can be selected. Model development and its subsequent application to unknown samples are straightforward from the interface. Prediction results are provided along with analytical figures of merit and standard concentration errors, as calculated by modern concepts of uncertainty propagation. (C) 2012 Elsevier B.V. All rights reserved.
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