An Introduction to Uncertainty in Measurement

datagap · 01-27-2011, 04:28 PM

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

Measurement shapes scientiﬁc theories, characterises improvements in manufacturing processes and promotes efﬁcient commerce. Inherent in 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 book is also useful to professionals in industry who are expected to know the contemporary methods in this increasingly important area.

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