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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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Leo
Deon Meyer
Paperback
(2)
R442
R406
Discovery Miles 4 060
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