Measurement uncertainties in science and technology /

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Bibliographic Details
Author / Creator:Grabe, Michael, author.
Edition:Second edition.
Imprint:Cham : Springer, 2014.
Description:1 online resource (xiv, 401 pages) : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11085191
Hidden Bibliographic Details
ISBN:9783319048888
3319048880
3319048872
9783319048871
9783319048871
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed May 21, 2014).
Summary:This book recasts the classical Gaussian error calculus from scratch, the inducements concerning bothrandom and unknown systematic errors. The idea of this bookis to create a formalism being fit to localize the true values of physical quantities considered - truewith respectto the set of predefined physical units. Remarkably enough, the prevailingly practiced forms of error calculus do not feature this property which however proves in every respect, to be physically indispensable. The amended formalism, termed Generalized Gaussian Error Calculus by the author, treats unknown systematic errors as biases and brings random errors to bear via enhanced confidence intervals as laid down by students. The significantly extended second edition thoroughly restructures and systematizes the text as a whole and illustrates the formalism by numerous numerical examples. They demonstrate the basic principles of how tounderstand uncertainties to localize the true values of measured values - a perspective decisive in view of the contested physical explorations.
Other form:Printed edition: 9783319048871
Standard no.:10.1007/978-3-319-04888-8

MARC

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250 |a Second edition. 
264 1 |a Cham :  |b Springer,  |c 2014. 
300 |a 1 online resource (xiv, 401 pages) :  |b illustrations 
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504 |a Includes bibliographical references and index. 
505 0 |a Characterization, Combination of Propagation of Errors -- Least Squares Adjustment -- Linear and Linearized Systems -- Generic Metrological Issues. 
520 |a This book recasts the classical Gaussian error calculus from scratch, the inducements concerning bothrandom and unknown systematic errors. The idea of this bookis to create a formalism being fit to localize the true values of physical quantities considered - truewith respectto the set of predefined physical units. Remarkably enough, the prevailingly practiced forms of error calculus do not feature this property which however proves in every respect, to be physically indispensable. The amended formalism, termed Generalized Gaussian Error Calculus by the author, treats unknown systematic errors as biases and brings random errors to bear via enhanced confidence intervals as laid down by students. The significantly extended second edition thoroughly restructures and systematizes the text as a whole and illustrates the formalism by numerous numerical examples. They demonstrate the basic principles of how tounderstand uncertainties to localize the true values of measured values - a perspective decisive in view of the contested physical explorations. 
650 0 |a Measurement.  |0 http://id.loc.gov/authorities/subjects/sh2002006406 
650 0 |a Error analysis (Mathematics)  |0 http://id.loc.gov/authorities/subjects/sh85044724 
650 0 |a Instrumental variables (Statistics)  |0 http://id.loc.gov/authorities/subjects/sh85066780 
650 6 |a Mesure. 
650 6 |a Erreurs, Théorie des. 
650 6 |a Variables instrumentales (Statistique) 
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650 7 |a Physique.  |2 eclas 
650 7 |a Astronomie.  |2 eclas 
650 7 |a Error analysis (Mathematics)  |2 fast  |0 (OCoLC)fst00915028 
650 7 |a Instrumental variables (Statistics)  |2 fast  |0 (OCoLC)fst00974426 
650 7 |a Measurement.  |2 fast  |0 (OCoLC)fst01715944 
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