A measurement result is incomplete without a statement of its 'uncertainty' or 'margin of error'. But what does this statement actually tell us? By examining the practical meaning of probability, this book discusses what is meant by a '95 percent interval of measurement uncertainty', and how such an interval can be calculated. The book argues that the concept of an unknown 'target value' is essential if probability is to be used as a tool for evaluating measurement uncertainty. It uses statistical concepts, such as a conditional confidence interval, to present 'extended' classical methods for evaluating measurement uncertainty. The use of the Monte Carlo principle for the simulation of experiments is described. Useful for researchers and graduate students, the book also discusses other philosophies relating to the evaluation of measurement uncertainty. It employs clear notation and language to avoid the confusion that exists in this controversial field of science.

Useful for researchers and graduate students, this book examines the practical meaning of probability.

About the Author
Robin Willink is a physicist-turned-statistician, who until recently worked for Applied Mathematics, Industrial Research Ltd, the parent body of the National Metrology Institute of New Zealand. His work on statistical methods for measurement is highly regarded.


Book Information
ISBN 9781107021938
Author Robin Willink
Format Hardback
Page Count 291
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 740g
Dimensions(mm) 253mm * 177mm * 18mm