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The Information Theory of Comparison...
~
Bowden, Roger.
The Information Theory of Comparisons = With Applications to Statistics and the Social Sciences /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
The Information Theory of Comparisons/ by Roger Bowden.
Reminder of title:
With Applications to Statistics and the Social Sciences /
Author:
Bowden, Roger.
Description:
XV, 159 p. 44 illus., 40 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Statistics . -
Online resource:
https://doi.org/10.1007/978-981-13-1550-3
ISBN:
9789811315503
The Information Theory of Comparisons = With Applications to Statistics and the Social Sciences /
Bowden, Roger.
The Information Theory of Comparisons
With Applications to Statistics and the Social Sciences /[electronic resource] :by Roger Bowden. - 1st ed. 2018. - XV, 159 p. 44 illus., 40 illus. in color.online resource.
Chapter 1. Partition entropy -- Chapter 2. Entropic shifting Perspectives and Applications -- Chapter 3. Moments, Measures and Metrics -- Chapter 4. Information Comparisons in Practice -- Chapter 5. Binary Perspectives for Spread and Asymmetry -- Chapter 6. Higher Dimensions -- Chapter 7. Entropy, Risk and Comparability.
This book finds a broad domain of relevance in statistics and the social sciences. Its conceptual development is supported by applications to economics and income distribution, finance, education, demographics and actuarial science, political studies, psychology, and general statistics. Fresh perspectives on directional complexity have generated an informational theory of ‘more versus less’, with representative polar outcomes as good or bad, or rich or poor. New duality metrics for spread and asymmetry have resulted, motivated by internal perspectives on the part of subjects, such as attitudes to their comparative (dis)advantage. This book is a readable review of these developments. Concepts and applications are described in tandem with each other. They consolidate recent contributions to the research literature, augmented with fresh insights and applications. Dynamic extensions include modeling shifting social attitudes, while the broader agenda encompasses topical areas such as subjectivist probability, investment decision making, and income distribution.
ISBN: 9789811315503
Standard No.: 10.1007/978-981-13-1550-3doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
The Information Theory of Comparisons = With Applications to Statistics and the Social Sciences /
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Chapter 1. Partition entropy -- Chapter 2. Entropic shifting Perspectives and Applications -- Chapter 3. Moments, Measures and Metrics -- Chapter 4. Information Comparisons in Practice -- Chapter 5. Binary Perspectives for Spread and Asymmetry -- Chapter 6. Higher Dimensions -- Chapter 7. Entropy, Risk and Comparability.
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This book finds a broad domain of relevance in statistics and the social sciences. Its conceptual development is supported by applications to economics and income distribution, finance, education, demographics and actuarial science, political studies, psychology, and general statistics. Fresh perspectives on directional complexity have generated an informational theory of ‘more versus less’, with representative polar outcomes as good or bad, or rich or poor. New duality metrics for spread and asymmetry have resulted, motivated by internal perspectives on the part of subjects, such as attitudes to their comparative (dis)advantage. This book is a readable review of these developments. Concepts and applications are described in tandem with each other. They consolidate recent contributions to the research literature, augmented with fresh insights and applications. Dynamic extensions include modeling shifting social attitudes, while the broader agenda encompasses topical areas such as subjectivist probability, investment decision making, and income distribution.
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