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005 | 20171105094558.0 | ||
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007 | cr ||||||||||| | ||
008 | 131105s2014 enk ob 001 0 eng | ||
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_a9781118763148 _q(ePub) |
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020 | _a9781118763117 | ||
020 | _a1118763114 | ||
020 |
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_aIntroduction to imprecise probabilities / _cedited 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. _h[electronic resource] |
264 | 1 |
_aChichester, West Sussex : _bJohn Wiley & Sons Inc., _c2014. |
|
300 | _a1 online resource (xxvi, 404 pages). | ||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 1 | _aWiley series in probability and statistics | |
504 | _aIncludes bibliographical references and index. | ||
520 |
_a"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"-- _cProvided by publisher. |
||
520 |
_a"Provides a comprehensive introduction to imprecise probabilities, including theory and applications reflecting the current state of the art"-- _cProvided by publisher. |
||
588 | 0 | _aPrint version record and CIP data provided by publisher. | |
650 | 0 | _aProbabilities. | |
650 | 7 |
_aMATHEMATICS _xProbability & Statistics _xGeneral. _2bisacsh |
|
650 | 7 |
_aProbabilities. _2fast _0(OCoLC)fst01077737 |
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655 | 4 | _aElectronic books. | |
655 | 0 | _aElectronic books. | |
700 | 1 |
_aAugustin, Thomas, _eeditor. |
|
776 | 0 | 8 |
_iPrint version: _tIntroduction to imprecise probabilities. _dHoboken, NJ : John Wiley & Sons Inc., 2014 _z9780470973813 _w(DLC) 2013041146 _w(OCoLC)851413880 |
830 | 0 | _aWiley series in probability and statistics. | |
856 | 4 | 0 |
_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118763117 _zWiley Online Library |
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