How Uncertainty-Related Ideas Can Provide Theoretical Explanation For Empirical Dependencies



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Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2021-03-20



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Description

This book shows how to provide uncertainty-related theoretical justification for empirical dependencies, on the examples from numerous application areas. Such justifications are needed, since without them, practitioners may be reluctant to use these dependencies: purely empirical formulas often turn out to hold only in some cases. 
Examples of new theoretical explanations range from fundamental physics (quark confinement, galaxy superclusters, etc.) and geophysics (earthquake analysis) to transportation and electrical engineering to computer science (image processing, quantum computing) and pedagogy (equity, effect of repetitions). The book is useful to students and specialists in the corresponding areas.
Most of the examples use common general techniques, so the book is also useful to practitioners and researchers in other application areas who look for ways to provide theoretical justifications for their areas’ empirical dependencies.

Pages
151 pages
Collection
Studies in Systems, Decision and Control
Parution
2021-03-20
Marque
Springer
EAN papier
9783030653231
EAN PDF
9783030653248

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
1894 Ko
Prix
158,24 €
EAN EPUB
9783030653248

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
4731 Ko
Prix
158,24 €