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Measurement uncertainty and probability

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 unce...

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Autor principal: Willink, Robin
Lenguaje:eng
Publicado: Cambridge Univ. Press 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1519133
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author Willink, Robin
author_facet Willink, Robin
author_sort Willink, Robin
collection CERN
description 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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spelling cern-15191332021-04-21T23:10:44Zhttp://cds.cern.ch/record/1519133engWillink, RobinMeasurement uncertainty and probabilityMathematical Physics and MathematicsA 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."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"--Cambridge Univ. Pressoai:cds.cern.ch:15191332013
spellingShingle Mathematical Physics and Mathematics
Willink, Robin
Measurement uncertainty and probability
title Measurement uncertainty and probability
title_full Measurement uncertainty and probability
title_fullStr Measurement uncertainty and probability
title_full_unstemmed Measurement uncertainty and probability
title_short Measurement uncertainty and probability
title_sort measurement uncertainty and probability
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1519133
work_keys_str_mv AT willinkrobin measurementuncertaintyandprobability