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Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications (International Series in Operations Research & Management Science, 46)
Book 273 of 323: International Series in Operations Research & Management ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
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Modeling Uncertainty : An Examination of Stochastic Theory, Methods, and Applications
Book 273 of 323: International Series in Operations Research & Management ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New.
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Modeling Uncertainty : An Examination of Stochastic Theory, Methods, and Applications
Book 273 of 323: International Series in Operations Research & Management ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 155.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications (International Series in Operations Research & Management Science, 46)
Book 273 of 323: International Series in Operations Research & Management ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 184.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. 799 1st ed. 2002 edition NO-PA16APR2015-KAP.
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Modeling Uncertainty : An Examination of Stochastic Theory, Methods, and Applications
Book 273 of 323: International Series in Operations Research & Management SciencePublished by Springer US, Springer US Nov 2019, 2019
ISBN 10: 0792374630 ISBN 13: 9780792374633
Language: English
Buch. Condition: Neu. Neuware - 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 that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.
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Modeling Uncertainty : An Examination of Stochastic Theory, Methods, and Applications
Book 273 of 323: International Series in Operations Research & Management SciencePublished by Springer US, Springer New York, 2019
ISBN 10: 1475783698 ISBN 13: 9781475783698
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.
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Hardcover. Condition: Brand New. 1st edition. 770 pages. 8.75x6.25x1.25 inches. In Stock.
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Paperback. Condition: Brand New. 799 pages. 9.00x6.00x1.75 inches. In Stock.
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Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications
Book 273 of 323: International Series in Operations Research & Management SciencePublished by Springer-Verlag New York Inc., 2019
ISBN 10: 1475783698 ISBN 13: 9781475783698
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 114.67
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 184.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volumeThe papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression anal.
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