Measurement data processing using random matrices: A generalized formula for the propagation of uncertainty

被引：13

作者：

D'Antona, G ^{[1
]}

机构：

[1] Politecn Milan, Dipartimento Elettron, I-20133 Milan, Italy

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2004年 / 53卷 / 02期

关键词：

calibration uncertainty; measurement uncertainty; uncertainty estimation; uncertainty models; uncertainty propagation;

D O I：

10.1109/TIM.2004.823650

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In measurement practices, mathematical models and processing algorithms are often formulated in terms of transformations between matrices whose elements are measured quantities affected by uncertainty. In these cases, it is crucial to have a law for the propagation of the standard uncertainty valid for the estimation of the uncertainty and correlations in the results. In this paper, this formula will be derived, and some examples of its application to experimental measurement situations will be shown.

引用

页码：537 / 545

页数：9