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Dealing with Uncertainties: A Guide to Error Analysis

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 differ...

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Detalles Bibliográficos
Autor principal: Drosg, Manfred
Lenguaje:eng
Publicado: Springer 2009
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-01384-3
http://cds.cern.ch/record/1339358
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author Drosg, Manfred
author_facet Drosg, Manfred
author_sort Drosg, Manfred
collection CERN
description 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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spelling cern-13393582021-04-22T00:58:41Zdoi:10.1007/978-3-642-01384-3http://cds.cern.ch/record/1339358engDrosg, ManfredDealing with Uncertainties: A Guide to Error AnalysisComputing and ComputersDealing 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.Springeroai:cds.cern.ch:13393582009
spellingShingle Computing and Computers
Drosg, Manfred
Dealing with Uncertainties: A Guide to Error Analysis
title Dealing with Uncertainties: A Guide to Error Analysis
title_full Dealing with Uncertainties: A Guide to Error Analysis
title_fullStr Dealing with Uncertainties: A Guide to Error Analysis
title_full_unstemmed Dealing with Uncertainties: A Guide to Error Analysis
title_short Dealing with Uncertainties: A Guide to Error Analysis
title_sort dealing with uncertainties: a guide to error analysis
topic Computing and Computers
url https://dx.doi.org/10.1007/978-3-642-01384-3
http://cds.cern.ch/record/1339358
work_keys_str_mv AT drosgmanfred dealingwithuncertaintiesaguidetoerroranalysis