Generalized Gaussian Error Calculus
For the first time in 200 years Generalized Gaussian Error Calculus addresses a rigorous, complete and self-consistent revision of the Gaussian error calculus. Since experimentalists realized that measurements in general are burdened by unknown systematic errors, the classical, widespread used evalu...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2010. |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Generalized gaussian error calculus, Michael Grabe, Heidelberg, Springer, 2010, 1 vol. (XIII-301 p.), 978-3-642-03304-9 |
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| 082 | |a 530.15 | ||
| 100 | 1 | |a Grabe, Michael. | |
| 245 | 1 | 0 | |a Generalized Gaussian Error Calculus |c by Michael Grabe. |
| 250 | |a 1st ed. 2010. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Basics of Metrology True Values and Traceability Models and Approaches Generalized Gaussian Error Calculus The New Uncertainties Treatment of Random Errors Treatment of Systematic Errors Error Propagation Means and Means of Means Functions of Erroneous Variables Method of Least Squares Essence of Metrology Dissemination of Units Multiples and Sub-multiples Founding Pillars Fitting of Straight Lines Preliminaries Straight Lines: Case (i) Straight Lines: Case (ii) Straight Lines: Case (iii) Fitting of Planes Preliminaries Planes: Case (i) Planes: Case (ii) Planes: Case (iii) Fitting of Parabolas Preliminaries Parabolas: Case (i) Parabolas: Case (ii) Parabolas: Case (iii) Non-Linear Fitting Series Truncation Transformation | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a For the first time in 200 years Generalized Gaussian Error Calculus addresses a rigorous, complete and self-consistent revision of the Gaussian error calculus. Since experimentalists realized that measurements in general are burdened by unknown systematic errors, the classical, widespread used evaluation procedures scrutinizing the consequences of random errors alone turned out to be obsolete. As a matter of course, the error calculus to-be, treating random and unknown systematic errors side by side, should ensure the consistency and traceability of physical units, physical constants and physical quantities at large. The generalized Gaussian error calculus considers unknown systematic errors to spawn biased estimators. Beyond, random errors are asked to conform to the idea of what the author calls well-defined measuring conditions. The approach features the properties of a building kit: any overall uncertainty turns out to be the sum of a contribution due to random errors, to be taken from a confidence interval as put down by Student, and a contribution due to unknown systematic errors, as expressed by an appropriate worst case estimation | ||
| 776 | 0 | |0 147075572 |t Generalized gaussian error calculus |f Michael Grabe |c Heidelberg |n Springer |d 2010 |p 1 vol. (XIII-301 p.) |z 978-3-642-03304-9 | |
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