Year: 2010
Type: preprint
Abstract: Concerning systematic effects, the recommendation given in the GUM is to correct for them, but unfortunately no detailed information is available, how to do this. This publication will show, how systematic measurement deviations can be handled correctly based on the Bayesian probability theory. After a short overview about useful methods and tools, like the product rule of probability theory, Bayes' theorem, the principle of maximum entropy, and the marginalisation equation, an outline of a method to handle systematic measurement deviations is introduced. Finally some simple examples of practical interest are given, in order to demonstrate the applicability of the suggested method.
Source: arXiv (Cornell University)
Author: Krystek, Michael
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W1515475787