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" Introduction to statistical decision theory : "
Silvia Bacci, Bruno Chiandotto.
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BL
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| Record Number
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841303
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| Main Entry
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Bacci, Silvia
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| Title & Author
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Introduction to statistical decision theory : : utility theory and causal analysis /\ Silvia Bacci, Bruno Chiandotto.
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| Publication Statement
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Boca Raton, FL :: CRC Press,, 2020.
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, ©2020
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| Page. NO
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1 online resource (xvi, 287 pages) :: illustrations
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| ISBN
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1315112221
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: 1351621378
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: 1351621386
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: 1351621394
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: 9781315112220
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: 9781351621373
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: 9781351621380
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: 9781351621397
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1138083569
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9781138083561
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| Bibliographies/Indexes
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Includes bibliographical references and index
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| Abstract
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Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference. The book is specifically designed to appeal to students and researchers that intend to acquire a knowledge of statistical science based on decision theory. Features Covers approaches for making decisions under certainty, risk, and uncertainty Illustrates expected utility theory and its extensions Describes approaches to elicit the utility function Reviews classical and Bayesian approaches to statistical inference based on decision theory Discusses the role of causal analysis in statistical decision theory
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| Subject
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Mathematical statistics.
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Statistical decision.
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Statistics.
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Mathematical statistics.
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MATHEMATICS / Probability Statistics / General
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Statistical decision.
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Statistics.
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| Dewey Classification
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519.5
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| LC Classification
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QA279.4.B33 2020
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| Added Entry
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Chiandotto, Bruno
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