Applied Probability And Stochastic Processes (international Series In Operations Research & Management Science)
by J. George Shanthikumar /
2012 / English / PDF
11.9 MB Download
Applied Probability and Stochastic Processes
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.
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.
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.
