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How uncertainty-related ideas can pr...

Ceberio, Martine.

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How uncertainty-related ideas can provide theoretical explanation for empirical dependencies

Record Type:	Electronic resources : Monograph/item
Title/Author:	How uncertainty-related ideas can provide theoretical explanation for empirical dependencies/ edited by Martine Ceberio, Vladik Kreinovich.
other author:	Ceberio, Martine.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	x, 151 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Uncertainty (Information theory) -
Online resource:	https://doi.org/10.1007/978-3-030-65324-8
ISBN:	9783030653248

How uncertainty-related ideas can provide theoretical explanation for empirical dependencies
How uncertainty-related ideas can provide theoretical explanation for empirical dependencies[electronic resource] /edited by Martine Ceberio, Vladik Kreinovich. - Cham :Springer International Publishing :2021. - x, 151 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.3062198-4182 ;. - Studies in systems, decision and control ;v.306..

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.

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.

ISBN: 9783030653248

Standard No.: 10.1007/978-3-030-65324-8doiSubjects--Topical Terms:

587701
Uncertainty (Information theory)

LC Class. No.: Q375 / .H698 2021

Dewey Class. No.: 003.54

How uncertainty-related ideas can provide theoretical explanation for empirical dependencies
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300 $a x, 151 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.306
505 0 $a 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.
520 $a 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.
650 0 $a Uncertainty (Information theory) $3 587701
650 0 $a Justification (Theory of knowledge) $3 529009
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Mathematical and Computational Engineering. $3 3226306
700 1 $a Ceberio, Martine. $3 2058256
700 1 $a Kreinovich, Vladik. $3 1965595
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in systems, decision and control ; $v v.306. $3 3492996
856 4 0 $u https://doi.org/10.1007/978-3-030-65324-8
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)