Bad results from good data

被引：41
|
作者：
Badertscher, Martin [1 ]
Pretsch, Erno [1 ]
机构：
[1] ETH, Organ Chem Lab, CH-8093 Zurich, Switzerland
来源：
TRAC-TRENDS IN ANALYTICAL CHEMISTRY | 2006年 / 25卷 / 11期
关键词：
calibration; correlation coefficient; linearization; sensor array; variable selection;
D O I：
10.1016/j.trac.2006.09.003
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
This review highlights some common errors of data evaluation that are frequently found in the literature. They include inappropriate choice of the model for fitting calibration curves, and usage of the correlation coefficient and linearization methods. We then question the notion about the advantage of non-selectivity of sensors in an array and highlight the danger of inadequate data-selection methods. (c) 2006 Elsevier Ltd. All rights reserved.
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页码：1131 / 1138
页数：8
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