Comparison of multivariate calibration techniques applied to experimental NIR data sets
Comparison of multivariate calibration techniques applied to experimental NIR data sets
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DOI：
10.1366/0003702001949816
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发表时间：
2000-04-01
影响因子：
3.5
通讯作者：
de Noord, OE
中科院分区：
文献类型：
--
作者：
Centner, V;Verdú-Andrés, J;de Noord, OE
本研究比较了不同的多元校正技术的性能，适用于四个近红外数据集时，测试样品的校准范围内。三种类型的问题进行了讨论：非线性校准，使用异构数据集的校准，并在存在无关信息的预测集的校准。建议是来自比较，这应该有助于指导nonchemometrician通过选择一个适当的校准方法，为特定类型的校准数据。提出了一种灵活的方法，允许选择一个适当的校准技术，为给定的校准问题。
The present study compares the performance of different multivariate calibration techniques applied to four near-infrared data sets when test samples are well within the calibration domain. Three types of problems are discussed: the nonlinear calibration, the calibration using heterogeneous data sets, and the calibration in the presence of irrelevant information in the set of predictors. Recommendations are derived from the comparison, which should help to guide a nonchemometrician through the selection of an appropriate calibration method for a particular type of calibration data. A flexible methodology is proposed to allow selection of an appropriate calibration technique for a given calibration problem.