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Measurement Uncertainty: An Approach Via the Mathematical Theory of Evidence

Measurement Uncertainty: An Approach Via the Mathematical Theory of Evidence

Paperback

Series: Springer Reliability Engineering

General MathematicsProbability & Statistics

ISBN10: 1441940340
ISBN13: 9781441940346
Publisher: Springer Nature
Published: Nov 23 2010
Pages: 228
Weight: 0.75
Height: 0.51 Width: 6.14 Depth: 9.21
Language: English

The expression of uncertainty in measurement poses a challenge since it involves physical, mathematical, and philosophical issues. This problem is intensified by the limitations of the probabilistic approach used by the current standard (the GUM Instrumentation Standard). This text presents an alternative approach. It makes full use of the mathematical theory of evidence to express the uncertainty in measurements. Coverage provides an overview of the current standard, then pinpoints and constructively resolves its limitations. The text presents various tools for evaluating uncertainty, beginning with the probabilistic approach and concluding with the expression of uncertainty using random-fuzzy variables. Numerous examples throughout help explain the book's unique approach. The book is designed for immediate use and application in research and laboratory work.

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Probability & Statistics