Stochastic Simulation: Algorithms and Analysis: 57 (Stochastic Modelling and Applied Probability, 57) - Softcover
Book 13 of 30: Stochastic Modelling and Applied Probability
Synopsis
Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. It is the first rigorous and comprehensive advanced book on stochastic simulation. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focuses on general methods; the second half discusses model-specific algorithms. A large amount of exercises and illustrations are included, making the book of value to students, practitioners and researchers in a broad range of fields.
"synopsis" may belong to another edition of this title.
From the Back Cover
Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focuses on general methods, whereas the second half discusses model-specific algorithms.
Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value.
Søren Asmussen is a professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is the Thomas Ford professor of Engineering at Stanford University.
"About this title" may belong to another edition of this title.
Other Popular Editions of the Same Title
Search results for Stochastic Simulation: Algorithms and Analysis: 57...
Stock Image
Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability)
Seller: Textsellers, Hampton, NH, U.S.A.
Seller rating 2 out of 5 stars
Paperback. Condition: Fine. No Jacket. Paperback, 476 pp. Small edge bump, else new. Book. Seller Inventory # 022505
Stock Image
Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability, 57)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2411530293926
Stock Image
Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability, 57)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781441921468_new
Buy New
£ 59.13
Shipping:
£ 11.98
From United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Stochastic Simulation: Algorithms and Analysis
Seller: Chiron Media, Wallingford, United Kingdom
Seller rating 4 out of 5 stars
PF. Condition: New. Seller Inventory # 6666-IUK-9781441921468
Buy New
£ 58.37
Shipping:
£ 15.49
From United Kingdom to U.S.A.
Quantity: 10 available
Seller Image
Stochastic Simulation: Algorithms and Analysis
Published by
Springer New York Nov 2010, 2010
ISBN 10: 144192146X
ISBN 13: 9781441921468
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focuses on general methods; the second half discusses model-specific algorithms. Exercises and illustrations are included. 492 pp. Englisch. Seller Inventory # 9781441921468
Stock Image
Stochastic Simulation
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 492. Seller Inventory # 263060530
Stock Image
Stochastic Simulation
Print on DemandSeller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand pp. 492 45 Illus. (Col.). Seller Inventory # 5836013
Seller Image
Stochastic Simulation: Algorithms and Analysis
Print on DemandSeller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First rigorous and comprehensive advanced book on stochastic simulationLarge amount of exercises and illustrations includedTop world wide experts in areaSampling-based computational methods have become a fundamental part of the n. Seller Inventory # 4172678
Stock Image
Stochastic Simulation
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND pp. 492. Seller Inventory # 183060536
Seller Image
Stochastic Simulation: Algorithms and Analysis
Published by
Springer New York, Springer US Nov 2010, 2010
ISBN 10: 144192146X
ISBN 13: 9781441921468
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 492 pp. Englisch. Seller Inventory # 9781441921468