Measurement Uncertainties in Science and Technology
| Autor: | Michael Grabe |
|---|---|
| EAN: | 9783540273196 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 08.12.2005 |
| Kategorie: | |
| Schlagworte: | Gaussian error calculus Method of least squares Normal Statistical interferences Systematic errors distribution metrology |
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In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gauß` error calculus ab initio, he treats random and unknown systematic errors on an equal footing from the outset. Furthermore, Grabe also proposes what may be called well defined measuring conditions, a prerequisite for defining confidence intervals that are consistent with basic statistical concepts. The resulting measurement uncertainties are as robust and reliable as required by modern-day science, engineering and technology.
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