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" Introduction to imprecise probabilities / "
edited by Thomas Augustin, Department of Statistics, LMU Munich, Germany, Frank P.A. Coolen, Department of Mathematical Sciences, Durham University, UK, Gert de Cooman, SYSTeMS Research Group, Ghent University, Belgium, Matthias C.M. Troffaes, Department of Mathematical Sciences, Durham University, UK
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BL
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| Record Number
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629826
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dltt
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| Title & Author
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Introduction to imprecise probabilities /\ edited by Thomas Augustin, Department of Statistics, LMU Munich, Germany, Frank P.A. Coolen, Department of Mathematical Sciences, Durham University, UK, Gert de Cooman, SYSTeMS Research Group, Ghent University, Belgium, Matthias C.M. Troffaes, Department of Mathematical Sciences, Durham University, UK
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| Series Statement
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Wiley series in probability and statistics
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| Page. NO
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1 online resource (xxvi, 404 pages)
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| ISBN
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9781118763148
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: 1118763149
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: 9781118763131
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: 1118763130
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: 9781118763117
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: 1118763114
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9780470973813
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0470973811
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9781306638159
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1306638151
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| Bibliographies/Indexes
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Includes bibliographical references and index
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| Abstract
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"In recent years, the theory has become widely accepted and has been further developed, but a detailed introduction is needed in order to make the material available and accessible to a wide audience. This will be the first book providing such an introduction, covering core theory and recent developments which can be applied to many application areas. All authors of individual chapters are leading researchers on the specific topics, assuring high quality and up-to-date contents. An Introduction to Imprecise Probabilities provides a comprehensive introduction to imprecise probabilities, including theory and applications reflecting the current state if the art. Each chapter is written by experts on the respective topics, including: Sets of desirable gambles; Coherent lower (conditional) previsions; Special cases and links to literature; Decision making; Graphical models; Classification; Reliability and risk assessment; Statistical inference; Structural judgments; Aspects of implementation (including elicitation and computation); Models in finance; Game-theoretic probability; Stochastic processes (including Markov chains); Engineering applications. Essential reading for researchers in academia, research institutes and other organizations, as well as practitioners engaged in areas such as risk analysis and engineering"--
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"Provides a comprehensive introduction to imprecise probabilities, including theory and applications reflecting the current state of the art"--
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| Subject
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Probabilities.
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| Dewey Classification
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519.2
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| LC Classification
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QA273
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| Added Entry
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Augustin, Thomas
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| Added Entry
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Ohio Library and Information Network.
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