Applied Probability and Stochastic Processes
By: edited by J. G. Shanthikumar, Ushio Sumita
Contributors: Sumita, Ushio
Series: International Series in Operations Research & Management Science -- 19; International series in operations research & management science -- 19.
Publisher: Springer US
Published: 1999
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 337
ISBN-13: 9781461373643; 9781461551911
Subjects: Mathematics; Distribution (Probability theory); Operations research
Description: 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.
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