Applied Probability and Stochastic Processes

. Ed(s): Shanthikumar, J. George; Sumita, Ushio

ISBN 10: 0792384393 / ISBN 13: 9780792384397

Published by Kluwer Academic Publishers, 1999

About this Item

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. . . . .

Seller Inventory # V9780792384397

Bibliographic Details

• Title: Applied Probability and Stochastic Processes
• Publisher: Kluwer Academic Publishers
• Publication Date: 1999
• Language: English
• ISBN 10: 0792384393
• ISBN 13: 9780792384397
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.