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Doubt-Free Uncertainty In Measurement - An Introduction for Engineers and Students (Paperback, Softcover reprint of the original 1st ed. 2015)
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Doubt-Free Uncertainty In Measurement - An Introduction for Engineers and Students (Paperback, Softcover reprint of the original 1st ed. 2015)
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This volume presents measurement uncertainty and uncertainty
budgets in a form accessible to practicing engineers and
engineering students from across a wide range of disciplines. The
book gives a detailed explanation of the methods presented by NIST
in the "GUM" - Guide to Uncertainty of Measurement. Emphasis is
placed on explaining the background and meaning of the topics,
while keeping the level of mathematics at the minimum level
necessary. Dr. Colin Ratcliffe, USNA, and Bridget Ratcliffe, Johns
Hopkins, develop uncertainty budgets and explain their use. In some
examples, the budget may show a process is already adequate and
where costs can be saved. In other examples, the budget may show
the process is inadequate and needs improvement. The book
demonstrates how uncertainty budgets help identify the most cost
effective place to make changes. In addition, an extensive
fully-worked case study leads readers through all issues related to
an uncertainty analysis, including a variety of different types of
uncertainty budgets. The book is ideal for professional engineers
and students concerned with a broad range of measurement assurance
challenges in applied sciences. This book also: Facilitates
practicing engineers' understanding of uncertainty budgets,
essential to calculating cost-effective savings to a wide variety
of processes contingent on measurement Presents uncertainty budgets
in an accessible style suitable for all undergraduate STEM courses
that include a laboratory component Provides a highly adaptable
supplement to graduate textbooks for courses where students' work
includes reporting on experimental results Includes an expanded
case study developing uncertainty from transducers though
measurands and propagated to the final measurement that can be used
as a template for the analysis of many processes Stands as a useful
pocket reference for all engineers and experimental scientists
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