An Introduction to Uncertainty in Measurement: Using the GUM (Guide to the Expression of Uncertainty in Measurement)

Kirkup, L.; Frenkel, R. B.

ISBN 10: 0521605792 / ISBN 13: 9780521605793

Published by Cambridge University Press, Cambridge, UK, 2006

About this Item

Softcover, [xiii], 233 pages. Very Good condition. Size 9.75"x6.75". "This book introduces measurement and uncertainty to second and third year students of science and engineering. Its approach relies on the internationally recognised and recommended guidelines for calculating and expressing uncertainty (known by the acronym GUM). The statistics underpinning the methods are considered and worked examples and exercises are spread throughout the text. Detailed case studies based on typical undergraduate experiments are included to reinforce the principles described in the book. This guide is also useful to professionals in industry who are expected to know the contemporary methods in this increasingly important area." Book has moderate handling/shelfwear. Binding is tight. Text is clean and unmarked.

Seller Inventory # 009580

Bibliographic Details

• Title: An Introduction to Uncertainty in Measurement: Using the GUM (Guide to the Expression of Uncertainty in Measurement)
• Publisher: Cambridge University Press, Cambridge, UK
• Publication Date: 2006
• Language: English
• ISBN 10: 0521605792
• ISBN 13: 9780521605793
• Binding: Soft cover
• Condition: Very Good
• Seller catalogs:
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About this title

Synopsis

Measurement shapes scientific theories, characterises improvements in manufacturing processes and promotes efficient commerce. In concert with measurement is uncertainty, and students in science and engineering need to identify and quantify uncertainties in the measurements they make. This book introduces measurement and uncertainty to second and third year students of science and engineering. Its approach relies on the internationally recognised and recommended guidelines for calculating and expressing uncertainty (known by the acronym GUM). The statistics underpinning the methods are considered and worked examples and exercises are spread throughout the text. Detailed case studies based on typical undergraduate experiments are included to reinforce the principles described in the book. This guide is also useful to professionals in industry who are expected to know the contemporary methods in this increasingly important area. Additional online resources are available to support the book at www.cambridge.org/9780521605793.

About the Authors

Les Kirkup is Associate Professor in the School of Physics and Advanced Materials, University of Technology, Sydney. A dedicated lecturer, many of his educational developments have focused on enhancing the laboratory experience of undergraduate students. In May 2011, he was awarded an Australian Learning and Teaching Council National Teaching Fellowship.

Bob Frenkel is a senior experimental scientist at the Australian National Measurement Institute.