by Ted Doiron While check standards will eventually give the most accurate uncertainty for a calibration procedure, the time and expense can be discouraging. Another common method, standard Gage Repeatability and Reproducibility study does not […]
by Richard Hogan Probability distributions are a part of measurement uncertainty analysis that people continually struggle with. Today, my goal is to help you learn more about probability distributions without having to grab a statistics […]
by Ted Doiron Uncertainty has proven difficult to implement in calibrations labs. The subject has advanced mathematics and statistics that are often needed for scientific research, but are seldom needed to develop uncertainty budgets for […]
by Hugo Gasca, Luis Omar Becerra, Victor Serrano, & Luis Manuel Peña Calibration information of experimental instruments often is used for correcting measurements. In this work we present examples of analysis of historic data from […]
by Jonathon Harben This paper explores the similarities and differences between a measurement uncertainty as described in the GUM and a manufacturer’s specification when the history of compliance testing results is taken into consideration. It […]
by Mark Kuster Metrology revolves around standards—measurement standards, normative standards, standard measurement practices, etc.—to achieve consistent quality results. To remain competitive, metrology, like other industries, also depends on automation and standardized interoperability to attain and […]
by David Deaver The Guides to Measurement Uncertainty (GUMs) give very prescriptive methods for calculating measurement uncertainty at individual points. Some laboratories undertake the calculation of uncertainty at many points and state them in their […]
By Hening Huang Three models are available in the literature for calculating the expanded uncertainty using the experimental standard deviation: the Student’s t model, Craig model, and Bayesian model. This paper compares these three models […]
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