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|a 9783642013843
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|a Drosg, Manfred
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|a Dealing with Uncertainties
|h Elektronische Ressource
|b A Guide to Error Analysis
|c by Manfred Drosg
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| 250 |
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|a 2nd ed. 2009
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2009, 2009
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| 300 |
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|a XIV, 235 p
|b online resource
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|a Basics on Data -- Basics on Uncertainties -- Radioactive Decay,a Model for Random Events -- Frequency and Probability Distributions -- Deductive Approach to Uncertainty -- Correlation -- Dealing with Internal Uncertainties -- Presentation and Estimation of Uncertainties -- Feedback of Uncertainties on Experiment Design
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| 653 |
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|a Measurement
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| 653 |
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|a Complex Systems
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| 653 |
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|a Statistics
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| 653 |
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|a System theory
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| 653 |
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|a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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| 653 |
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|a Mathematical physics
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| 653 |
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|a Applications of Mathematics
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| 653 |
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|a Measuring instruments
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| 653 |
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|a Mathematics
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|a Theoretical, Mathematical and Computational Physics
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| 653 |
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|a Measurement Science and Instrumentation
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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|a 10.1007/978-3-642-01384-3
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|u https://doi.org/10.1007/978-3-642-01384-3?nosfx=y
|x Verlag
|3 Volltext
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|a 530.1
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|a Dealing with Uncertainties is an innovative monograph that lays special emphasis on the deductive approach to uncertainties and on the shape of uncertainty distributions. This perspective has the potential for dealing with the uncertainty of a single data point and with sets of data that have different weights. It is shown that the inductive approach that is commonly used to estimate uncertainties is in fact not suitable for these two cases. The approach that is used to understand the nature of uncertainties is novel in that it is completely decoupled from measurements. Uncertainties which are the consequence of modern science provide a measure of confidence both in scientific data and in information in everyday life. Uncorrelated uncertainties and correlated uncertainties are fully covered and the weakness of using statistical weights in regression analysis is discussed. The text is abundantly illustrated with examples and includes more than 150 problems to help the reader master the subject
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