The role of models in measurement outside the laboratory

被引:1
作者
Boumans, Marcel [1 ,2 ]
机构
[1] Univ Amsterdam, Amsterdam, Netherlands
[2] Erasmus Univ, EIPE, Rotterdam, Netherlands
关键词
Complex system; Model; Social science; Uncertainty evaluation; ECONOMIC-SYSTEMS;
D O I
10.1016/j.measurement.2013.04.041
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
For measurement outside the laboratory, uncertainty evaluations have to be model-based. Therefore models should not only represent the measurand but also its environment. For measurement in social science these models will be too complex, therefore instead of white-box models, grey-box (modular-designed) models are preferred. They are much simpler. Uncertainty evaluations of measurements outside the laboratory are more of the kind of Type B evaluations. In social science, due to the lack of authoritative scientific institutions, Type B evaluations will be of a different character. In case of measurements based on grey-box models they are the so-called structure-oriented behaviour tests. (c) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2908 / 2912
页数:5
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