Hidden Bibliographic Details
| ISBN: | 9781139612463
1139612468
9781139625487
1139625489
1139616188
9781139616188
1299257712
9781299257719
9781139610605
1139610600
9781139135085
1139135082
1107235839
9781107235830
1139608932
9781139608930
9781107021938
1107021936
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| Digital file characteristics: | data file
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| Notes: | Includes bibliographical references and index.
English.
Print version record.
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| 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"--
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| Other form: | Print version: Willink, Robin, 1961- Measurement uncertainty and probability. Cambridge : Cambridge University Press, 2013 9781107021938
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