practice – such as traceable calibration, careful calculation, good record keeping, and checking – can reduce measurement uncertainties. When the uncertainty ...
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ISO 17025 Measurement Uncertainty Training, Links and Calculator ...
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Below we have compiled a collection of Measurement Uncertainty References. The latest available version of the Uncertainty Calculator 3.2 can be downloaded ...
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Protocol for Calculation of Measurement Uncertainty in Analytical ...
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Protocol for Calculation of. Measurement Uncertainty in Analytical Chemistry. Prepared For. National Laboratory for. Environmental Testing by. M Foroutan ...
How do you calculate uncertainty? - Yahoo! Answers
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2 answers - 14 Feb 2008
In general, the uncertainty in a single measurement from a single ... In this situation, since each measurement enters the calculation as a ...
Agilent | Uncertainty Calculator
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Uncertainty Calculator has been developed to address the need to document analyses of measurement accuracy (uncertainty) in a simple, straightforward ...
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Nordtest Technical Report 537
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Handbook for Calculation of Measurement Uncertainty in Environmental ... measurement uncertainty calculations, mainly based on already existing quality ...
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Calculation of Measurement Uncertainty Using Prior Information
by SD Phillips - 1998 - Cited by 17 - Related articles
We describe the use of Bayesian inference to include prior information about the value of the measurand in the calculation of measurement uncertainty. Typical ...
Examples of Uncertainty calculations
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Jump to Uncertainty in a single measurement: In general, the uncertainty in a single measurement from a single instrument is half the least count ...
Measurement chain. • Estimating the true value of a measured quantity. • Estimating uncertainties. Uncertainty Estimation and Calculation page 2. Phases of an ... OR YOU MUST ELABORATE ON YOUR QUESTION PLEASE!
Asslam Alykom. It seems to me that your question actually involves three questions: The first question is about uncertainty measurement. The second question is about drift detection. The third question might be about estimating the right values for the corrupted data after a drift is detected.
The first question is relatively easy. In addition to the excellent list provided by Kanaga Gnana, I would like to add the following
1. An Introduction to Error Analysis by Taylor.
2. Measurement Theory for Engineers by Gertbakh.
3. An Introduction to Uncertainty in Measurement by Kirkup and Frenkel.
The second question, the one about drift detection, is relatively more difficult to answer. Drift is not easy to detect. Any way, there are some works on it. Personally, I’m interested in this phenomenon myself and my last two papers are about it. The work I did was about flow meter drift detection. This is a narrow field and it might not directly apply to your problem but you can take some ideas from it. The information for the paper is
Ben Salamah, M.; Kapoor, A.; Savsar, M.; Ektesabi, M.; Abdekhodaee, A.; Shayan, E., The detection of flow meter drift by using statistical process control, International Journal of Sustainable Development and Planning, Vol. 6, no. 1 (Feb 2011), pp. 91-103.
The third question, the one about estimating the right values for the corrupted data after a drift is detected, is relatively easy. If you can detect the beginning of a drift, you can use the past ‘healthy’ and uncorrupted data and extend them to the future. The subject that involves this is called Time Series Analysis. I can recommend few good books on it
1. Smoothing, Forecasting and Prediction of Discrete Time Series by Brown.
2. Introduction to Time Series Analysis and Forecasting by Montgomery, Jennings and Kulachi.
3. The Analysis of Time Series An Introduction by Chatfield.