標題: Uncertainty analysis for measurement of measurand
作者: Chen, Hung-Chia
Wu, Pei-Chen
Huang, Jing-Ye
Chen, Lin-An
統計學研究所
Institute of Statistics
關鍵字: Measurement of measurand;Uncertainty analysis;Uncertainty interval
公開日期: 1-十一月-2010
摘要: For measuring the true value of a measurand, vague statistical concept of measurand results in inefficient uncertainty analysis of measurement. The vagueness is caused by the fact that true value of the measurand is an unknown parameter such as population mean or median and the measurement of this true value is a random variable. Generally a parameter may be estimated remarkably more efficiently than the prediction of the random variable. The classical uncertainty analysis in the literature has been developed based on the structure that a measurand is a random variable. This misspecification of statistical concept costs serious price of sacrificing efficiency in terms of length of the uncertainty interval. The purpose of present study is to formally formulate a statistical model for the true value of measurand and provide an uncertainty analysis for the measurement of this true value. (C) 2010 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.measurement.2010.07.001
http://hdl.handle.net/11536/32014
ISSN: 0263-2241
DOI: 10.1016/j.measurement.2010.07.001
期刊: MEASUREMENT
Volume: 43
Issue: 9
起始頁: 1250
結束頁: 1254
顯示於類別:期刊論文


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