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Measurement Uncertainties in Science and Technology

This book recasts the classical Gaussian error calculus from scratch, the inducements concerning both random and unknown systematic errors. The idea of this book is to create a formalism being fit to localize the true values of physical quantities considered - true with respect to the set of predefi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Grabe, Michael (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:2nd ed. 2014.
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Measurement Uncertainties in Science and Technology  |h [electronic resource] /  |c by Michael Grabe. 
250 |a 2nd ed. 2014. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a XIV, 401 p. 80 illus., 41 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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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 both random and unknown systematic errors. The idea of this book is to create a formalism being fit to localize the true values of physical quantities considered - true with respect to 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 to understand uncertainties to localize the true values of measured values - a perspective decisive in view of the contested physical explorations. 
650 0 |a Measurement. 
650 0 |a Measuring instruments. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 0 |a Mathematical physics. 
650 1 4 |a Measurement Science and Instrumentation. 
650 2 4 |a Mathematical and Computational Engineering Applications. 
650 2 4 |a Mathematical Methods in Physics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319048895 
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912 |a ZDB-2-PHA 
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950 |a Physics and Astronomy (SpringerNature-11651) 
950 |a Physics and Astronomy (R0) (SpringerNature-43715)