9780792374633 - Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications: 46 (11 risultati)

Condizione: New. In.

Buch. Condizione: 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. 804 pp. Englisch.

Gebunden. Condizione: New. 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.

Condizione: New. pp. 804.

Condizione: New. Covers topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. This book is useful for graduate students in mathematics, statistics, engineering, and economics departments. Editor(s): Dror, Moshe; L'Ecuyer, Pierre; Szidarovszky, Ferenc. Series: International Series in Operations Research & Management Science. Num Pages: 770 pages, biography. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 234 x 156 x 42. Weight in Grams: 1293. . 2002. Hardback. . . . .

Buch. Condizione: 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.

Hardcover. Condizione: Brand New. 1st edition. 770 pages. 8.75x6.25x1.25 inches. In Stock.

Condizione: New. Covers topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. This book is useful for graduate students in mathematics, statistics, engineering, and economics departments. Editor(s): Dror, Moshe; L'Ecuyer, Pierre; Szidarovszky, Ferenc. Series: International Series in Operations Research & Management Science. Num Pages: 770 pages, biography. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 234 x 156 x 42. Weight in Grams: 1293. . 2002. Hardback. . . . . Books ship from the US and Ireland.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 804 pp. Englisch.

Condizione: New. Print on Demand pp. 804 Illus.

Condizione: New. PRINT ON DEMAND pp. 804.