The Elements of Stochastic Processes with Applications to the Natural Sciences
Published on 21. March 1990
Book
Paperback/Softback
264 pages
978-0-471-52368-0 (ISBN)
Description
Develops an introductory and relatively simple account of the theory and application of the evolutionary type of stochastic process. Professor Bailey adopts the heuristic approach of applied mathematics and develops both theoretical principles and applied techniques simultaneously.
More details
Series
Edition
Revised edition
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 216 mm
Width: 140 mm
Thickness: 16 mm
Weight
377 gr
ISBN-13
978-0-471-52368-0 (9780471523680)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Norman T. J. Bailey
Elements of Stochastic Processes with Applications to the Natural Sciences
Book
12/1964
Wiley
€68.03
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Person
Norman T. J. Bailey is the author of The Elements of Stochastic Processes with Applications to the Natural Sciences, published by Wiley.
Content
Generating Functions.
Recurrent Events.
Random Walk Models.
Markov Chains.
Discrete Branching Processes.
Markov Processes in Continuous Time.
Homogeneous Birth and Death Processes.
Some Non-Homogeneous Processes.
Multi-Dimensional Processes.
Queueing Processes.
Epidemic Processes.
Competition and Predation.
Diffusion Processes.
Approximations to Stochastic Processes.
Some Non-Markovian Processes.
References.
Solutions to Problems.
Indices.
Recurrent Events.
Random Walk Models.
Markov Chains.
Discrete Branching Processes.
Markov Processes in Continuous Time.
Homogeneous Birth and Death Processes.
Some Non-Homogeneous Processes.
Multi-Dimensional Processes.
Queueing Processes.
Epidemic Processes.
Competition and Predation.
Diffusion Processes.
Approximations to Stochastic Processes.
Some Non-Markovian Processes.
References.
Solutions to Problems.
Indices.