Replicate analysis and outlier detection in multivariate NIR calibration, illustrated with biofuel analysis
Replicate analysis and outlier detection in multivariate NIR calibration, illustrated with biofuel analysis
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DOI：
10.1016/j.aca.2005.01.057
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发表时间：
2005-07
影响因子：
6.2
通讯作者：
Tom Lillhonga;P. Geladi
中科院分区：
文献类型：
--
作者：
Tom Lillhonga;P. Geladi
生物燃料数据集用于显示近红外光谱中重要参数水分含量的多元校准和预测。异质生物燃料材料的在线采样和近红外光谱（1050波长）对水分参考的预测误差为3%和1%。本文介绍了校准方法和预测诊断，重点介绍了使用重复和重复进行异常值检测。
A biofuel data set is used to show multivariate calibration and prediction of the vital parameter moisture content from near-infrared spectra. At-line sampling of heterogeneous biofuel materials and near-infrared spectroscopy (1050 wavelengths) gave prediction errors of 3 and 1% for the moisture reference. The calibration methodology and prediction diagnostics are presented in the paper with an emphasis of using replicates and duplicates for outlier detection.