Overview
Innovative approach covers topics not addressed by competing titles
Demonstrates that uncertainties are the consequence of modern science rather than of measurements
Coverage includes internal uncertainties, analysis of correlated uncertainties, feedback of uncertainties on experiment design, and weighting in regression analysis other than statistical
Gives examples for correlations in data evaluations and for the feedback of uncertainties on experiments
Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Dealing with Uncertainties proposes and explains a new approach for the analysis of uncertainties. Firstly, it is shown that uncertainties are the consequence of modern science rather than of measurements. Secondly, it stresses the importance of the deductive approach to uncertainties. This perspective has the potential of dealing with the uncertainty of a single data point and of data of a set having differing weights. Both cases cannot be dealt with the inductive approach, which is usually taken. This innovative monograph also fully covers both uncorrelated and correlated uncertainties. The weakness of using statistical weights in regression analysis is discussed. Abundant examples are given for correlation in and between data sets and for the feedback of uncertainties on experiment design.
Reviews
From the reviews:
"Drosg … emphasizes that uncertainties should not always be viewed as indication of errors but, rather, be embraced by the fact that they will always exist in science and therefore are required to be addressed like any other numbers or data utilized in the study of applied mathematics or science. Drosg has vast experience in nuclear physics and electronics, as is evident from the numerous examples in his book. … Summing Up: Recommended. Faculty; researchers; professionals." (J. T. Zerger, CHOICE, Vol. 44 (11), July, 2007)
Authors and Affiliations
Bibliographic Information
Book Title: Dealing with Uncertainties
Book Subtitle: A Guide to Error Analysis
Authors: Manfred Drosg
DOI: https://doi.org/10.1007/978-3-540-29608-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
eBook ISBN: 978-3-540-29608-9Published: 06 March 2007
Edition Number: 1
Number of Pages: XIV, 190
Number of Illustrations: 24 b/w illustrations
Topics: Measurement Science and Instrumentation, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences