Measurement Uncertainty of Measurand

• Main Authors: Wu, Pei-Chen, 吳佩蓁
• Other Authors: Chen, Lin-An
• Format: Others
• Language: en_US
• Online Access: http://ndltd.ncl.edu.tw/handle/64484285566590327908

碩士 === 國立交通大學 === 統計學研究所 === 97 === Uncertainty analysis of measurement of measurand is an important topic in metrology. However, vague statistical concept of measurand results in inefficient inference uncertainty for the true measurand. Measurand and the variable representing its measurement are completely different in probability concept; one is an unknown distributional parameter and the other is a random variable. Generally, a parameter may be estimated more efficiently than the prediction of the future observation of a random variable. The classical uncertainty analysis in literature is developed based on the structure that a measurand is a random variable. This misspecification of statistical model costs serious price of sacrificing efficiency in constructing uncertainty interval for gaining the knowledge of the true measurand. We formally formulate a statistical analysis for measurement of measurand.