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:
Stochastic processes.
Stochastic Processes
Processus stochastiques.
MATHEMATICS > Probability & Statistics > General.
Mathematical models
Acceso en línea:Texto completo
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Tabla de Contenidos:
  • 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.

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