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It is now widely recognized that measurement data should be
properly analyzed to include an assessment of their associated
uncertainty. Since this parameter allows for a meaningful
comparison of the measurement results and for an evaluation of
their reliability, its expression is important not only in the
specialized field of scientific metrology, but also in industry,
trade, and commerce. 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 statistics. The book does not require previous
knowledge other than elementary calculus and can be read as a
complement to the GUM or as a stand-alone reference source. It
stresses fundamental principles and illustrates their applications
through numerous examples taken from many different fields of
metrology. The book includes practical guidance as well as
theoretical aspects, resulting in an invaluable resource for
metrologists, engineers, physicists, and graduate students involved
with measurements in academia and industry.
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