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Cookie akzeptieren![Dror, Moshe / Ferenc Szidarovszky et al (Hrsg.). Modeling Uncertainty - An Examination of Stochastic Theory, Methods, and Applications. Springer US, 2019.](https://eichendorff21.de/cdata/uzkkktHISDVmMT1OeDmAhO8SSBo=/300x0/9781475783698.png)
Modeling Uncertainty
- Springer US
- 2019
- Taschenbuch
- 800 Seiten
- ISBN 9781475783698
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others
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