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The information theory of comparison...
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Bowden, Roger.
The information theory of comparisonswith applications to statistics and the social sciences /
Record Type:
Electronic resources : Monograph/item
Title/Author:
The information theory of comparisonsby Roger Bowden.
Reminder of title:
with applications to statistics and the social sciences /
Author:
Bowden, Roger.
Published:
Singapore :Springer Singapore :2018.
Description:
xv, 159 p. :digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Information theory.
Online resource:
http://dx.doi.org/10.1007/978-981-13-1550-3
ISBN:
9789811315503$q(electronic bk.)
The information theory of comparisonswith applications to statistics and the social sciences /
Bowden, Roger.
The information theory of comparisons
with applications to statistics and the social sciences /[electronic resource] :by Roger Bowden. - Singapore :Springer Singapore :2018. - xv, 159 p. :digital ;24 cm.
Chapter 1. Partition entropy -- Chapter 2. Entropic shifting Perspectives and Applications -- Chapter 3. Moments, Measures and Metrics -- Chapter 4. Information Comparisons in Practice -- Chapter 5. Binary Perspectives for Spread and Asymmetry -- Chapter 6. Higher Dimensions -- Chapter 7. Entropy, Risk and Comparability.
This book finds a broad domain of relevance in statistics and the social sciences. Its conceptual development is supported by applications to economics and income distribution, finance, education, demographics and actuarial science, political studies, psychology, and general statistics. Fresh perspectives on directional complexity have generated an informational theory of 'more versus less', with representative polar outcomes as good or bad, or rich or poor. New duality metrics for spread and asymmetry have resulted, motivated by internal perspectives on the part of subjects, such as attitudes to their comparative (dis)advantage. This book is a readable review of these developments. Concepts and applications are described in tandem with each other. They consolidate recent contributions to the research literature, augmented with fresh insights and applications. Dynamic extensions include modeling shifting social attitudes, while the broader agenda encompasses topical areas such as subjectivist probability, investment decision making, and income distribution.
ISBN: 9789811315503$q(electronic bk.)
Standard No.: 10.1007/978-981-13-1550-3doiSubjects--Topical Terms:
183013
Information theory.
LC Class. No.: Q360 / .B693 2018
Dewey Class. No.: 003.54
The information theory of comparisonswith 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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Mathematics and Statistics (Springer-11649)
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EB Q360 B784 2018 2018
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http://dx.doi.org/10.1007/978-981-13-1550-3
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