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The information theory of comparisons: with applications to statistics and the social sciences

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 perspe...

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Detalles Bibliográficos
Autor principal: Bowden, Roger
Lenguaje:eng
Publicado: Springer 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-981-13-1550-3
http://cds.cern.ch/record/2633916
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author Bowden, Roger
author_facet Bowden, Roger
author_sort Bowden, Roger
collection CERN
description 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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spelling cern-26339162021-04-21T18:44:58Zdoi:10.1007/978-981-13-1550-3http://cds.cern.ch/record/2633916engBowden, RogerThe information theory of comparisons: with applications to statistics and the social sciencesMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:26339162018
spellingShingle Mathematical Physics and Mathematics
Bowden, Roger
The information theory of comparisons: with applications to statistics and the social sciences
title The information theory of comparisons: with applications to statistics and the social sciences
title_full The information theory of comparisons: with applications to statistics and the social sciences
title_fullStr The information theory of comparisons: with applications to statistics and the social sciences
title_full_unstemmed The information theory of comparisons: with applications to statistics and the social sciences
title_short The information theory of comparisons: with applications to statistics and the social sciences
title_sort information theory of comparisons: with applications to statistics and the social sciences
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-981-13-1550-3
http://cds.cern.ch/record/2633916
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