应用实验设计生成相关信息和具有代表性的校准数据。

S Schönkopf, D Guyot
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引用次数: 0

摘要

良好校准的基本要求是具有代表性的数据。本文概述了从现有种群中选择样本的技术。解释了析因设计的概念,并描述了应用实验设计产生代表性数据的三种方法。它们是:改变实验条件;直接关注一些感兴趣的参数(参考值);改变产生光谱一致变化的基本条件,例如生产因素。最后,本文给出了一个使用实验设计概念从总体中挑选样本的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of experimental design to generate relevant information and representative calibration data.

The basic requirement for a good calibration is representative data. This paper outlines techniques for selecting samples from an existing population. The concept of factorial designs is explained, and three ways of applying experimental design to generate representative data are described. These are: to vary the experimental conditions; focus on some of the parameters of interest directly (reference values); to vary the underlying conditions which generate consistent variations in the spectra,for example production factors. Finally the paper gives an example of the use of the concept of experimental design to pick out samples from a population.

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