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

1. Auflage 2021
ISBN: 978-3-030-65324-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 306, 151 Seiten, eBook

Reihe: Studies in Systems, Decision and Control

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.

Zielgruppe

Research

Autoren/Hrsg.

Ceberio, Martine

Kreinovich, Vladik

Inhaltsverzeichnis

Status Quo Bias Actually Helps Decision Makers to Take Nonlinearity into Account: An Explanation.- A Natural Explanation for the Minimum Entropy Production Principle.- How Uncertainty Related Ideas Can Provide Theoretical Explanation For Empirical Dependencies.- Why Class-D Audio Amplifiers Work Well: A Theoretical Explanation.