Authors:
- Textbook and professional reference for a cross-disciplinary audience of students and researchers concerned with instrumentation and measurement (applied mathematicians, engineers, computer scientists and physicists)
- The first alternative approach and companion to the GUM Instrumentation Standard, recommended by one of the original GUM creators
- Enriched with a plethora of real-life examples ready for practical application in research and laboratory work
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Reliability Engineering (RELIABILITY)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
"This book is the first to make full use of the mathematical theory of evidence to express the uncertainty in measurement. … This book can be useful for researchers (and practitioners) in the fields of statistics and measurement theory." (Robert Fuller, Mathematical Reviews, Issue 2007 j)
"This mathematics book is the first one to propose a different way of representing measurement uncertainty using fuzzy variables … . It is rare that a book of mathematics is so easy to read as this one, even for people unfamiliar with the topic of fuzzy variables. … The book is organised for and addressed to students … . It is also meant to be a ready-to-use tool for practitioners in measurements. … will interest researchers and specialists in the science of measurements." (Mariana Buzduga, International Journal of Acoustics and Vibration, Vol. 13 (1), 2008)
"The book under review is the first to make full use of this theory to express the uncertainly in measurements. … The book is designed for immediate use and applications in research and laboratory work in various fields, including applied probability, electrical and computer engineering, and experimental physics. Prerequisites for students include courses in statistics and measurement science." (Oleksandr Kukush, Zentralblatt MATH, Vol. 1144, 2008)
Authors and Affiliations
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Dipartimento di Elettrotecnica, Politecnico di Milano, Milano, Italy
Simona Salicone
Bibliographic Information
Book Title: Measurement Uncertainty
Book Subtitle: An Approach via the Mathematical Theory of Evidence
Authors: Simona Salicone
Series Title: Springer Series in Reliability Engineering
DOI: https://doi.org/10.1007/978-0-387-46328-5
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-30655-1Published: 06 December 2006
Softcover ISBN: 978-1-4419-4034-6Published: 23 November 2010
eBook ISBN: 978-0-387-46328-5Published: 04 June 2007
Series ISSN: 1614-7839
Series E-ISSN: 2196-999X
Edition Number: 1
Number of Pages: X, 228
Topics: Measure and Integration, Electronics and Microelectronics, Instrumentation, Measurement Science and Instrumentation, Probability Theory and Stochastic Processes