Modeling Uncertainty - An Examination of Stochastic Theory, Methods, and Applications (Hardcover, 2002 ed.)

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 internionally 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.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	International Series in Operations Research & Management Science, 46
Release date:	November 2019
First published:	2002
Editors:	Moshe Dror • Pierre L'Ecuyer • Ferenc Szidarovszky
Dimensions:	234 x 156 x 42mm (L x W x T)
Format:	Hardcover
Pages:	770
Edition:	2002 ed.
ISBN-13:	978-0-7923-7463-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
LSN:	0-7923-7463-0
Barcode:	9780792374633

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