Preface: Uncertainty Evaluation by Monte Carlo Method

Published

March 16, 2020

Author(s)

Prem Rachakonda, Vishal Ramnath, Vinay Shankar Pandey

Abstract

Measurement uncertainty is a parameter that is used to characterize the dispersion of the values attributed to a measurand. There are multiple definitions of measurement uncertainty that were adopted by various international working groups. The differences in definitions are small and of interest mainly to experts in the field. The methods used to estimate the uncertainty, however, were found to vary widely between different fields of metrology, even among national metrology institutes. The problem was studied, and a set of guidelines were published in the early 1980s. To implement the guidelines and harmonize the methods to estimate uncertainty, a guide with specific steps and numerous examples was developed and published as the Guide to the Expression of Uncertainty in Measurement (GUM) in 1995. The GUM is published by the Joint Committee for Guides in Metrology (JCGM), which is a group comprised of eight other international organizations. There have been periodic updates and extensions to the GUM, developed by JCGM, that included other valid methods to estimate uncertainty and it is a continuing international effort.

Citation

Journal of Metrology Society of India

Pub Type

Journals

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Keywords

uncertainty analysis, monte carlo simulation

Citation

Rachakonda, P. , Ramnath, V. and Pandey, V. (2020), Preface: Uncertainty Evaluation by Monte Carlo Method, Journal of Metrology Society of India, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=928947 (Accessed September 30, 2025)