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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£107.06

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RRP £118.95 – you save £11.89 (9%)

Order before 4pm today for delivery by Thu 18 Dec 2025.

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

15 in stock


    View other formats and editions of Markov Processes by Stewart N. Ethier

    Publisher: John Wiley & Sons Inc
    Publication Date: 07/10/2005
    ISBN13: 9780471769866, 978-0471769866
    ISBN10: 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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