Titlebook: Introduction to Statistics in Metrology; Stephen Crowder,Collin Delker,Nevin Martin Book 2020 Springer Nature Switzerland AG 2020 Internat

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Monte Carlo Methods for the Propagation of Uncertainties,e measurement model equation is randomly sampled from an appropriate probability distribution many times, and the output of the model equation calculated many times. Uncertainty can then be estimated by statistical analysis of the resulting output distribution. Unlike the GUM method, Monte Carlo unc

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Design of Experiments in Metrology, of statistical DOEx is that efficiency is paramount in terms of the resources (cost, time, personnel, equipment, etc.…) used to perform an experiment. In the case of metrology studies, individual runs in an experiment may be very costly, and the experiment must be designed in such a way that inform

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Special Topics in Metrology, guides for less commonly used methods are in development. In this chapter we present an overview of methods that we find valuable and deserving of more coverage. These methods include statistical process control (SPC), binary measurement systems (BMS), destructive measurements, sample size determin

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Introduction,y affected the outcome of pressure measurements on footballs in a 2015 sports scandal often referred to as “Deflategate.” Second, the importance of an accurate measurement model in obtaining reliable estimates of case fatality rate during a pandemic is discussed.

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The International System of Units, Traceability, and Calibration,cent advancements in unit definitions are discussed, with an emphasis on redefinition using fundamental constants to achieve lower uncertainties. This chapter also describes calibration and traceability, important metrological concepts, along with calibration policies and standards.

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Measurement Uncertainty in Decision Making,ement for making a particular decision. Methods of guardbanding a measurement to reduce the false accept risk are also given for both symmetric and asymmetric tolerances. Finally, a discussion of decision risk and decision rules in a calibration lab setting are provided.

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