Techniques for Uncertainty Analysis of Complex Measurement Processes
作者:
AtwoodCorwin L.,
EngelhardtMax,
期刊:
Journal of Quality Technology
(Taylor Available online 1996)
卷期:
Volume 28,
issue 1
页码: 1-11
ISSN:0022-4065
年代: 1996
DOI:10.1080/00224065.1996.11979632
出版商: Taylor&Francis
关键词: Calibration;Measurement Error;Random Effects;Uncertainty Analysis;Variance Components
数据来源: Taylor
摘要:
This article relates lessons that are useful in the analysis of uncertainties in a complex measurement process, through a case study. It distinguishes between the settings for confidence intervals and those for prediction intervals. It illustrates testing of an assumed variance, shows how to separate the variance contributors in a calibration curve, discusses the use of independence of variance components, gives first-order approximations for combining random errors, and emphasizes the necessity of writing all the contributors to uncertainty in a single mathematical expression.
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