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. Including practical guidance as well as theoretical aspects, it stresses fundamental principles and illustrates their applications through numerous examples taken from many different fields of metrology.
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