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Evaluating the Measurement Uncertainty Fundamentals and Practical Guidance (Series in Measurement Science and Technology) by I Lira

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Published by Taylor & Francis .
Written in English

Subjects:

  • Engineering measurement & calibration,
  • Scientific standards,
  • Science/Mathematics,
  • Science,
  • Technology & Industrial Arts,
  • Mensuration,
  • PHYSICS,
  • Science / Physics

Book details:

The Physical Object
FormatHardcover
Number of Pages243
ID Numbers
Open LibraryOL7971133M
ISBN 100750308400
ISBN 109780750308403

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General rules for evaluating and expressing the uncertainty are given in the internationally accepted ISO Guide to the Expression of Uncertainty in Measurement, generally known as the GUM. Evaluating the Measurement Uncertainty details the theoretical framework on which the GUM is based and provides additional material on more advanced topics such as least-squares adjustment and Bayesian .   Evaluating the Measurement Uncertainty is a book written for anyone who makes and reports measurements. It attempts to fill the gaps in the ISO Guide to the Expression of Uncertainty in Measurement, or the GUM, and does a pretty thorough by: 2. Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results | Barry N. Taylor, Chris E. Kuyatt | download | B–OK. Download books for free. Find books.   The purpose of this document is to harmonise evaluation of uncertainty of measurement within EA, to set up, in addition to the general requirements of EA, the specific demands in reporting uncertainty of measurement on calibration certificates issued by accredited laboratories and to assist accreditation bodies with a coherent assignment of Calibration and Measurement Capability .

This document is intended to serve as a succinct guide to evaluating and expressing the uncertainty of NIST measurement results, for NIST scientists, engineers, and technicians who make measurements and use measurement results, and also for our external partners — customers, collaborators, and stakeholders. It supplements but does not replace. TN: Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results Preface to the Edition The previous edition, which was the first, of this National Institute of Standards and Technology (NIST) Technical Note (TN ) was initially published in January Accreditation Service (UKAS) Publication M , ‘The Expression of Uncertainty and Confidence in Measurement’, and the Publication EA-4/02 of the European co-operation for Accreditation (EA), ‘Expression of the Uncertainty in Measurement and Calibration’. Many people are daunted by the subject of measurement uncertainty.   In the Guide to the Expression of Uncertainty in Measurement (GUM), Type A evaluation of uncertainty is defined as the method of evaluation of uncertainty by the statistical analysis of series of observations.

-Combined standard measurement uncertainty: standard measurement uncertainty that is obtained using the individual standard measurement uncertainties associated with the input quantities in a measurement model. -Relative standard measurement uncertainty: standard measurement uncertainty divided by the absolute value of the measured quantity value. 3 Evaluating the standard uncertainty 45 Quantities as random variables 47 Standard, mutual and expanded uncertainties 49 Best estimate and standard uncertainty 50 Mutual uncertainties 52 The expanded uncertainty 53 Some useful pdfs 54 The normal pdf 54 The trapezoidal, rectangular and triangular pdfs   The main topics are basic concepts and importance, existing documentation, the harmonized methodology of the Guide to the Expression of Uncertainty in Measurement, types of uncertainty, modeling of measurement systems, use of alternative methods (including the GUM supplement 1 Monte Carlo numerical method), evaluation of uncertainty for calibration curves, correlated uncertainties, uncertainties Cited by: 2. Evaluation of measurement data — Guide to the expression of uncertainty in measurement Évaluation des données de mesure — Guide pour l’expression de l’incertitude de mesure First edition September © JCGM