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Stochastic models /

One of the central problems in operations research and management science is how to quantify the effects of uncertainty about the future. This, the second volume in a series of handbooks, is devoted to models where chance events play a major role. The thirteen chapters survey topics in applied proba...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Heyman, Daniel P., Sobel, Matthew J.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; New York : New York, NY, U.S.A. : North-Holland ; Sole distributor for the U.S.A. and Canada, Elsevier Science Pub. Co., 1990.
Colección:Handbooks in operations research and management science ; v. 2.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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245 0 0 |a Stochastic models /  |c edited by D.P. Heyman, M.J. Sobel. 
260 |a Amsterdam ;  |a New York :  |b North-Holland ;  |a New York, NY, U.S.A. :  |b Sole distributor for the U.S.A. and Canada, Elsevier Science Pub. Co.,  |c 1990. 
300 |a 1 online resource (xv, 723 pages) 
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490 1 |a Handbooks in operations research and management science ;  |v v. 2 
520 |a One of the central problems in operations research and management science is how to quantify the effects of uncertainty about the future. This, the second volume in a series of handbooks, is devoted to models where chance events play a major role. The thirteen chapters survey topics in applied probability that have been particularly useful in operations research and management science. Each chapter was written by an expert, both in subject matter and in its exposition. The chapters fall into four groups. The first four cover the fundamentals of stochastic processes, and lay the foundation for the following chapters. The next three chapters are concerned with methods of getting numbers. This includes numerical solution of models, parameter estimation for models, and simulation of models. Chapters 8 and 9 describe the fundamentals of dynamic optimization. The last four chapters are concerned with the most important structured models in operations research and management science; queues, queueing networks, inventories, and reliability. 
504 |a Includes bibliographical references and index. 
505 0 |a Point processes / R.F. Serfozo -- Markov processes / A.F. Karr -- Martingales and random walks / H.M. Taylor -- Diffusion approximations / P.W. Glynn -- Computational methods in probability theory / W.K. Grassmann -- Statistical methods / J. Lehoczky -- Simulation experiments / B. Schmeiser -- Markov decision processes / M.L. Puterman -- Controlled continuous time Markov processes / R. Rishel -- Queueing theory / R.B. Cooper -- Queueing networks / J. Walrand -- Stochastic inventory theory / E.L. Porteus -- Reliability and maintainablilty / M. Shaked and J.G. Shanthikumar. 
588 0 |a Print version record. 
546 |a English. 
650 0 |a Stochastic processes. 
650 2 |a Stochastic Processes  |0 (DNLM)D013269 
650 6 |a Processus stochastiques.  |0 (CaQQLa)201-0002663 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Stochastic processes.  |2 fast  |0 (OCoLC)fst01133519 
650 7 |a Processus stochastiques.  |2 ram 
653 |a Mathematical models 
700 1 |a Heyman, Daniel P. 
700 1 |a Sobel, Matthew J. 
776 0 8 |i Print version:  |t Stochastic models.  |d Amsterdam ; New York : North-Holland ; New York, NY, U.S.A. : Sole distributor for the U.S.A. and Canada, Elsevier Science Pub. Co., 1990  |z 0444874739  |w (DLC) 89077179  |w (OCoLC)20825298 
830 0 |a Handbooks in operations research and management science ;  |v v. 2. 
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856 4 0 |u https://sciencedirect.uam.elogim.com/science/handbooks/09270507/2  |z Texto completo