Comparison of ISO-GUM and Monte Carlo Method for Evaluation of Measurement Uncertainty

2014 ◽  
Vol 38 (7) ◽  
pp. 647-656
Author(s):  
Young-Cheol Ha ◽  
Jae-Young Her ◽  
Seung-Jun Lee ◽  
Kang-Jin Lee
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Measurement Uncertainty ◽  
Iso Gum

A Simplified Software for Uncertainty Estimation Using Monte Carlo Method

2020 ◽  
Vol 12 (8) ◽  
pp. 1050-1053
Author(s):  
Jasveer Singh ◽  
L. A. Kumaraswamidhas ◽  
Neha Bura ◽  
Kapil Kaushik ◽  
Nita Dilawar Sharma
Keyword(s):  
Monte Carlo ◽  
Standard Deviation ◽  
Monte Carlo Method ◽  
Measurement Uncertainty ◽  
Standard Uncertainty ◽  
Uncertainty Estimation ◽  
End Points ◽  
The Monte Carlo Method ◽  
Adaptive Trials ◽  
Coverage Interval

The current paper discusses about the application of Monte Carlo method for the evaluation of measurement uncertainty using in-house developed program on C++ platform. The Monte Carlo method can be carried out by fixed trials as well as adaptive trials using this program. The program provides the four parameters viz. estimate of measurand, standard uncertainty in the form of standard deviation and end points of coverage interval as an output.

scholarly journals Evaluating uncertainty of some radiation measurand using Monte Carlo method

2021 ◽  
Vol 9 (4) ◽  
pp. 34-40
Author(s):  
Duc Ky Bui ◽  
Ngoc Quynh Nguyen ◽  
Duc Thang Duong ◽  
Ngoc Thiem Le ◽  
Quang Tuan Ho ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Ionizing Radiation ◽  
Measurement Uncertainty ◽  
Physical Quantity ◽  
Uncertainty Propagation ◽  
Dose Equivalent ◽  
Air Kerma ◽  
Mandatory Requirement ◽  
Radiation Measurements

Evaluating measurement uncertainty of a physical quantity is a mandatory requirement for laboratories within the recognition ISO/IEC 17025 certification to access reliability of measured results. In this work, the uncertainty of ionizing radiation measurements such as air-kerma, personal dose equivalent Hp(d) was evaluated based on GUM method and Monte Carlo method. An uncertainty propagation software has been developed for evaluation of the measurement uncertainty more convenient.

scholarly journals Uncertainty evaluation of the conducted emission measurements

2013 ◽  
Vol 28 (2) ◽  
pp. 182-190 ◽  
Author(s):  
Aleksandar Kovacevic ◽  
Dejan Despotovic ◽  
Zoran Rajovic ◽  
Koviljka Stankovic ◽  
Ana Kovacevic ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Probability Density Function ◽  
Measurement Uncertainty ◽  
Probability Density ◽  
Density Function ◽  
Least Squares Method ◽  
Combined Method ◽  
Conducted Emission ◽  
Number Of Classes

For the evaluation of measurement uncertainty in measuring the conduction emission, in this paper we propose a new model which uses mixed distribution. Evaluation of probability density function for the measurand has been done using Monte Carlo method and a modified least-squares method (combined method). In addition, the number of data n and the number of classes of histogram k which were used for simulation, were varied.

Evaluation of measurement uncertainty based on quasi-Monte-Carlo method in the large diameter measurement

2012 ◽  
Vol 51 (9) ◽  
pp. 093601-1 ◽  
Author(s):  
Hui Jing ◽  
Cong Li ◽  
Bing Kuang ◽  
Meifa Huang ◽  
Yanru Zhong
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Measurement Uncertainty ◽  
Large Diameter ◽  
Diameter Measurement ◽  
Quasi Monte Carlo

scholarly journals Verification of the Indicating Measuring Instruments Taking into Account their Instrumental Measurement Uncertainty

2017 ◽  
Vol 17 (6) ◽  
pp. 269-272
Author(s):  
Igor Zakharov ◽  
Pavel Neyezhmakov ◽  
Olesia Botsiura
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Measurement Uncertainty ◽  
Measuring Instruments ◽  
Legal Metrology ◽  
The Monte Carlo Method ◽  
Uncertainty Of Measurements ◽  
Instrumental Measurement ◽  
Probability Of Compliance

Abstract The specific features of the measuring instruments verification based on the results of their calibration are considered. It is noted that, in contrast to the verification procedure used in the legal metrology, the verification procedure for calibrated measuring instruments has to take into account the uncertainty of measurements into account. In this regard, a large number of measuring instruments, considered as those that are in compliance after verification in the legal metrology, turns out to be not in compliance after calibration. In this case, it is necessary to evaluate the probability of compliance of indicating measuring instruments. The procedure of compliance probability determination on the basis of the Monte Carlo method is considered. An example of calibration of a Vernier caliper is given.

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