Applied Probability and Stochastic Processes

Ushio Sumita

ISBN 10: 1461373646 / ISBN 13: 9781461373643

Verlag: Springer US, Springer US, 2012

Beschreibung

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.

Bestandsnummer des Verkäufers 9781461373643

Bibliografische Details

• Titel: Applied Probability and Stochastic Processes
• Verlag: Springer US, Springer US
• Erscheinungsjahr: 2012
• Sprache: Englisch
• ISBN-10: 1461373646
• ISBN-13: 9781461373643
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.