Markov Processes - Characterization and Convergence

Автор: Stewart N. Ethier, Thomas G. Kurtz

Език:

Корици: С меки корици

Издател: John Wiley & Sons Inc

Наличност: Външен склад

Изпращаме след 9-15 дни

141.99 € 277.71 лв

"The Wiley-Interscience Paperback Series" consists of selected books that have been made more access...

Информация за книгата

Автор

Stewart N. Ethier, Thomas G. Kurtz

Език

Английски език

Корици

Книга - С меки корици

Издадена

2005

страници

552

EAN

9780471769866

ISBN

047176986X

Enbook ID

04893899

Издател

John Wiley & Sons Inc

Теглоt

878

Размери

230 x 155 x 38

Пълно описание

"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]anyone 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 fur 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 work and as a graduate textbook' - "Journal of Statistical Physics". "Markov Processes" presents several different approaches to proving weak approximation theorems for Markov processes, emphasizing the interplay of methods of characterization and approximation. Martingale problems for general Markov processes are systematically developed for the first time in book form. Useful to the professional as a reference and suitable for the graduate student as a text, this volume features a table of the interdependencies among the theorems, an extensive bibliography, and end-of-chapter problems.

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Markov Processes - Characterization and Convergence

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