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News Release from: American Technical Publishers | Subject: Measurement Uncertainty: Methods and Applications
Edited by the Manufacturingtalk Editorial
Team on 07 March 2003
Take Uncertainty out of Measurement
Uncertainty
The purpose of measurements is to numerically characterize the state or performance of a physical process.
The purpose of measurements is to numerically characterize the state or performance of a physical process No test data should be considered without knowing their measurement uncertainty
This article was originally published on Manufacturingtalk on 15 Apr 2002 at 8.00am (UK)
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Measurement Uncertainty: Methods and Applications presents scientists and engineers with a comprehensive tutorial of measurement uncertainty methods in a logically categorized and readily utilized format.
The third edition of this informative book provides an understanding of the importance of the role played by measurement uncertainty analysis in any text or experimental measurement process.
The text presents the basics of the measurement uncertainty model, the use of correlation, curve-fitting problems, probability plotting, combining results from different test methods, calibration errors, and uncertainty propagation for both independent and dependent error sources.
This latest edition includes several new examples and problems to illustrate the principles and applications of measurement uncertainty analysis.
There are also new sections on business impact of measurement uncertainty and the treatment of calibration.
The book is divided into eight units that represent specific segments of measurement uncertainty methodology.
Each unit is designed on a consistent format with a set of specific learning objectives stated up front.
Special emphasis on understanding is achieved through the working of numerous exercises, which provide practical experience in working measurement uncertainty problems.
After reading Measurement Uncertainty, the reader will be able to apply uncertainty analysis techniques to most experimental test problems in order to help achieve the test objectives more productively and at lower cost.
Measurement Uncertainty is intended for scientists and engineers who are interested in evaluating experimental measurement uncertainty.
The material is useful for test engineers, process engineers, control engineers, researchers, plant supervisors, managers, executives, and anyone who needs a basic understanding of the assessment and impact of uncertainty in test and experimental measurements.
The book can also be used as a complete course in measurement uncertainty for engineering students.
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