02556cam a22002535a 4500
17361907
20180228113629.0
120626s2013 enka frb 001 0 eng d
9781107021938
DLC
eng
DLC
DLC
EG-ScBUE
22
519.2
WIL
Willink, Robin,
1961-
Measurement uncertainty and probability /
Robin Willink.
Cambridge :
Cambridge University Press,
2013.
xvii, 276 p. :
ill. ;
26 cm.
Includes bibliographical references and index.
Machine generated contents note: 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.
"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"--
Measurement uncertainty (Statistics)
BUEsh
Probabilities.
BUEsh
BUEsh
GGEN
ENGELC
February2018
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26204
26176
0
0
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0
0
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MAIN
1ST
2018-02-28
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607.00
21201
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519.2 WIL
000047308
2022-08-24
759.00
2018-02-28
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