Applied Probability and Stochastic Processes (Paperback, Softcover reprint of the original 1st ed. 1999)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	International Series in Operations Research & Management Science, 19
Release date:	March 2013
First published:	1999
Editors:	J. George Shanthikumar • Ushio Sumita
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Paperback
Pages:	337
Edition:	Softcover reprint of the original 1st ed. 1999
ISBN-13:	978-1-4613-7364-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Promotions
LSN:	1-4613-7364-6
Barcode:	9781461373643

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