TY  - BOOK
AU  - Augustin,Thomas
AU  - Coolen,Frank P.A.
AU  - Cooman,Gert de
AU  - Troffaes,Matthias C.M.
TI  - Introduction to imprecise probabilities
T2  - Wiley series in probability and statistics
SN  - 9780470973813 (hardback)
U1  - 519.2 23
PY  - 2014///
CY  - Chichester
PB  - John Wiley
KW  - Probabilities
KW  - MATHEMATICS / Probability & Statistics / General
N1  - Includes bibliographical references (pages 338-373) and indexes; 1. Desirability--
2. Lower previsions--
3. Structural judgements--
4. Special cases--
5. Other uncertainty theories based on capacities--
6. Game-theoretic probability--
7. Statistical inference--
8. Decision making--
10. classification--
11. Stochastic processes--
12. Financial risk measurement--
13. Engineering--
14. Reliability and risk--
15. Elicitation--
16. Computation--
References--
Author index--
Subject index
N2  - "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"--; "Provides a comprehensive introduction to imprecise probabilities, including theory and applications reflecting the current state of the art"--
ER  -