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首页> 外文期刊>Journal of computer chemistry >Chemometrics Calculations with Microsoft Excel (3)-Quantitative Analysis Using Multiple Regression-
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Chemometrics Calculations with Microsoft Excel (3)-Quantitative Analysis Using Multiple Regression-

机译:使用Microsoft Excel进行化学计量学计算(3)-使用多元回归进行定量分析-

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Although chemometrics has become widely used recently for analyzing experimental chemical data, there exist in only a few instructions for the proper usage of chemometrics other than some introductory books. As the third step of chemometrics calculations with Microsoft Excel (Excel), the multiple regressions for quantitative analysis are performed on a worksheet. An Excel worksheet for generating absorption spectra is constructed. On other worksheets, quantitative analyses by two different multiple regression methods, which are based on the Lambert-Beer rule (in this paper, this method is called “Lambert-Beer analysis”: “LBA”) and on fundamental multiple linear regression (MLR), are executed using the generated spectra. The performances of quantitative analysis between these methods are compared. The obtained results indicating that LBA has higher performance for the spectra with noise, on the other hand MLR has higher performance for the spectra of samples including the unknown component.
机译:尽管化学计量学最近已广泛用于分析实验化学数据,但除了一些入门书籍外,仅存在一些关于正确使用化学计量学的说明。作为使用Microsoft Excel(Excel)进行化学计量学计算的第三步,在工作表上执行定量分析的多元回归。构造用于生成吸收光谱的Excel工作表。在其他工作表上,使用基于Lambert-Beer规则(在本文中,此方法称为“ Lambert-Beer分析”:“ LBA”)和基本多元线性回归(MLR)的两种不同的多元回归方法进行定量分析。 ),使用生成的光谱执行。比较了这些方法之间的定量分析性能。所获得的结果表明,LBA对于带有噪声的光谱具有更高的性能,而另一方面,MLR对于包括未知成分的样品的光谱具有更高的性能。

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