Measurement uncertainty and probability
 Responsibility
 Robin Willink.
 Language
 English.
 Publication
 Cambridge : Cambridge University Press, 2013.
 Copyright notice
 ©2013
 Physical description
 xvii, 276 pages : illustrations ; 26 cm
Access
Available online
Math & Statistics Library
Stacks
Call number  Status 

QA276.8 .W56 2013  Unknown 
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Creators/Contributors
 Author/Creator
 Willink, Robin, 1961
Contents/Summary
 Bibliography
 Includes bibliographical references (pages 268272) and index.
 Contents

 Part I. Principles: 1. Introduction 2. Foundational ideas in measurement 3. Components of error or uncertainty 4. Foundational ideas in probability and statistics 5. The randomization of systematic errors 6. Beyond the standard confidence interval Part II. Evaluation of Uncertainty: 7. Final preparation 8. Evaluation using the linear approximation 9. Evaluation without the linear approximations 10. Uncertainty information fit for purpose Part III. Related Topics: 11. Measurement of vectors and functions 12. Why take part in a measurement comparison? 13. Other philosophies 14. An assessment of objective Bayesian methods 15. A guide to the expression of uncertainty in measurement 16. Measurement near a limit  an insoluble problem? References Index.
 (source: Nielsen Book Data)
 Publisher's Summary
 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.
(source: Nielsen Book Data)  Supplemental links

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Contributor biographical information
Publisher description
Table of contents only
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Bibliographic information
 Publication date
 2013
 Copyright date
 2013
 ISBN
 9781107021938 (hbk.)
 1107021936 (hbk.)