Isbn: 9780792384397 - applied probability and stochastic processes (international series in operations research & management science, 19, band 19) (3 Ergebnisse)

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    • Hardcover

    Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

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    EUR 250,12

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Kluwer Academic Publishers, 1999

    0792384393 / 9780792384397

    Serie: Buch 21 von 323 - International Series in Operations Research & Management Science

    • Hardcover

    Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore

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    Zustand: New. Offers a mixture of theoretical, algorithmic, and application chapters providing examples of the work that Professor Keilson has done or influenced over the course of his highly-productive and energetic career in applied probability and stochastic processes. Editor(s): Shanthikumar, J. George; Sumita, Ushio. Series: International Series in Operations Research & Management Science. Num Pages: 337 pages, biography. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 20. Weight in Grams: 1510. . 1999. Hardback. . . . . Books ship from the US and Ireland.

  • Sprache: Englisch

    Verlag: Springer, Springer, 1999

    0792384393 / 9780792384397

    Serie: Buch 21 von 323 - International Series in Operations Research & Management Science

    • Hardcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Applied Probability and Stochastic Processes is an edited work written in honor of Julien Keilson. This volume has attracted a host of scholars in applied probability, who have made major contributions to the field, and have written survey and state-of-the-art papers on a variety of applied probability topics, including, but not limited to: perturbation method, time reversible Markov chains, Poisson processes, Brownian techniques, Bayesian probability, optimal quality control, Markov decision processes, random matrices, queueing theory and a variety of applications of stochastic processes. The book has a mixture of theoretical, algorithmic, and application chapters providing examples of the cutting-edge work that Professor Keilson has done or influenced over the course of his highly-productive and energetic career in applied probability and stochastic processes. The book will be of interest to academic researchers, students, and industrial practitioners who seek to use the mathematics of applied probability in solving problems in modern society.