Measurement Uncertainty and Probability

Nonfiction, Science & Nature, Science, Physics, General Physics, Technology
Cover of the book Measurement Uncertainty and Probability by Robin Willink, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Robin Willink ISBN: 9781139610605
Publisher: Cambridge University Press Publication: February 14, 2013
Imprint: Cambridge University Press Language: English
Author: Robin Willink
ISBN: 9781139610605
Publisher: Cambridge University Press
Publication: February 14, 2013
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Religion in a Liberal State by Robin Willink
Cover of the book Bootstrap Methods and their Application by Robin Willink
Cover of the book In-Vitro Fertilization by Robin Willink
Cover of the book Quantum Measurement and Control by Robin Willink
Cover of the book The Fed and Lehman Brothers by Robin Willink
Cover of the book The Darkness of God by Robin Willink
Cover of the book Consumer Lending in France and America by Robin Willink
Cover of the book China as a Polar Great Power by Robin Willink
Cover of the book A World without Privacy by Robin Willink
Cover of the book The Cambridge Companion to the Modern German Novel by Robin Willink
Cover of the book LDPC Code Designs, Constructions, and Unification by Robin Willink
Cover of the book Advances in Two-Dimensional Homotopy and Combinatorial Group Theory by Robin Willink
Cover of the book Shakespeare Survey: Volume 66, Working with Shakespeare by Robin Willink
Cover of the book The Cambridge History of Early Medieval English Literature by Robin Willink
Cover of the book Nietzsche, Soloveitchik and Contemporary Jewish Philosophy by Robin Willink
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy