The Elements of Stochastic Processes with

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.

Norman T. J. Bailey is the author of The Elements of Stochastic Processes with Applications to the Natural Sciences, published by Wiley.

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.

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The Elements of Stochastic Processes with Applications to the Natural Sciences

Summary

Author Biography

Table of Contents

Supplemental Materials