Description

Book Synopsis
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

[A]nyone who works with Markov processes whose state space is uncountably infinite will need this most impressive book as a guide and reference.
-American Scientist

There is no question but that space should immediately be reserved for [this] book on the library shelf. Those who aspire to mastery of the contents should also reserve a large number of long winter evenings.
-Zentralblatt für Mathematik und ihre Grenzgebiete/Mathematics Abstracts

Ethier and Kurtz have produced an excellent treatment of the modern theory of Markov processes that [is] useful both as a reference w

Table of Contents
Introduction.

1. Operator Semigroups.

2. Stochastic Processes and Martingales.

3. Convergence of Probability Measures.

4. Generators and Markov Processes.

5. Stochastic Integral Equations.

6. Random Time Changes.

7. Invariance Principles and Diffusion Approximations.

8. Examples of Generators.

9. Branching Processes.

10. Genetic Models.

11. Density Dependent Population Processes.

12. Random Evolutions.

Appendixes.

References.

Index.

Flowchart.

Markov Processes

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    A Paperback / softback by Stewart N. Ethier, Thomas G. Kurtz

    £107.06

    Includes FREE delivery

    RRP £118.95 – you save £11.89 (9%)

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      Book details

      Published 7 October 2005
      ISBN-13 9780471769866
      978-0471769866
      ISBN-10 047176986X

      Description

      Book Synopsis
      The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

      [A]nyone who works with Markov processes whose state space is uncountably infinite will need this most impressive book as a guide and reference.
      -American Scientist

      There is no question but that space should immediately be reserved for [this] book on the library shelf. Those who aspire to mastery of the contents should also reserve a large number of long winter evenings.
      -Zentralblatt für Mathematik und ihre Grenzgebiete/Mathematics Abstracts

      Ethier and Kurtz have produced an excellent treatment of the modern theory of Markov processes that [is] useful both as a reference w

      Table of Contents
      Introduction.

      1. Operator Semigroups.

      2. Stochastic Processes and Martingales.

      3. Convergence of Probability Measures.

      4. Generators and Markov Processes.

      5. Stochastic Integral Equations.

      6. Random Time Changes.

      7. Invariance Principles and Diffusion Approximations.

      8. Examples of Generators.

      9. Branching Processes.

      10. Genetic Models.

      11. Density Dependent Population Processes.

      12. Random Evolutions.

      Appendixes.

      References.

      Index.

      Flowchart.

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