Measurement Uncertainties in Science and Technology
Seiten
2016
|
2. Softcover reprint of the original 2nd ed. 2014
Springer International Publishing (Verlag)
978-3-319-33056-3 (ISBN)
Springer International Publishing (Verlag)
978-3-319-33056-3 (ISBN)
This book recasts classical Gaussian error calculus from scratch. The new edition thoroughly restructures and systematizes the text and offers numerous numerical examples, showing how to understand uncertainties, to localize the true values of measured values.
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 Student. 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.
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 Student. 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.
Characterization, Combination of Propagation of Errors.- Least Squares Adjustment.- Linear and Linearized Systems.- Generic Metrological Issues.
| Erscheinungsdatum | 29.08.2016 |
|---|---|
| Zusatzinfo | XIV, 401 p. 80 illus., 41 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Naturwissenschaften ► Physik / Astronomie | |
| Technik | |
| Schlagworte | Appl.Mathematics/Computational Methods of Engineer • Enhanced Confidence Intervals • Enhanced Confidence Intervals • Generic Metrological Issues • Least Squares Adjustment • Linear and Linearized Systems • Localization of True Values • Mathematical methods in physics • Mathematical Physics • Maths for engineers • Measurement Science and Instrumentation • Measurement Uncertainties • Physics and Astronomy • Procedures of Data Evaluation • Propagation of Errors • Scientific standards, measurement etc • Unknown Systematic Errors |
| ISBN-10 | 3-319-33056-X / 331933056X |
| ISBN-13 | 978-3-319-33056-3 / 9783319330563 |
| Zustand | Neuware |
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