Title :
A statistical model to the expression of uncertainty and confidence in measurement
Author :
Iuculano, G. ; Gualtieri, G. Pellegrini ; Zanobini, A.
Author_Institution :
Dept. of Electron. Eng., Florence Univ., Italy
Abstract :
The explicit recognition of uncertainty is central to any measurement process. In this work a computer-intensive approach is adopted to the estimation of uncertainty at a given coverage probability, that is, at a given region of confidence in a measurement process. The method is adaptable to a large range of situations and is based on the use of Monte Carlo approximation and bootstrap resampling iteration. An experimental model is examined to understand the applicability of the numerical technique and to check the potentiality of the proposed method
Keywords :
Monte Carlo methods; iterative methods; measurement theory; measurement uncertainty; probability; sampling methods; Monte Carlo approximation; bootstrap resampling iteration; confidence; confidence belt; experimental model; probability; statistical model; uncertainty; Approximation methods; Belts; Measurement standards; Measurement uncertainty; Monte Carlo methods; Performance evaluation; Probability distribution; State estimation; Symmetric matrices; Weight measurement;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-5890-2
DOI :
10.1109/IMTC.2000.848897
