Description

Book Synopsis
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.

Table of Contents
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.

The Elements of Stochastic Processes with

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    A Paperback / softback by Norman T. J. Bailey

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      Book details

      Publisher John Wiley & Sons Inc
      Published 21 March 1990
      ISBN-13 9780471523680
      978-0471523680
      ISBN-10 0471523682
      Also in:
      Mathematics Biology, life sciences Maths for scientists

      Description

      Book Synopsis
      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.

      Table of Contents
      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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