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Optimal stopping rules /

Although three decades have passed since first publication of this book reprinted now as a result of popular demand, the content remains up-to-date and interesting for many researchers as is shown by the many references to it in current publications. The "ground floor" of Optimal Stopping...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Shiri͡aev, A. N. (Alʹbert Nikolaevich)
Otros Autores: Aries, A. B.
Formato: Electrónico eBook
Idioma:Inglés
Ruso
Publicado: Berlin ; New York : Springer, ©2008.
Colección:Applications of mathematics ; 8.
Temas:
Acceso en línea:Texto completo

MARC

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240 1 0 |a Statisticheskiĭ posledovatelʹnyĭ analiz.  |l English 
245 1 0 |a Optimal stopping rules /  |c A.N. Shiryaev ; translated by A.B. Aries. 
260 |a Berlin ;  |a New York :  |b Springer,  |c ©2008. 
300 |a 1 online resource (xii, 217 pages) :  |b illustrations 
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490 1 |a Applications of mathematics,  |x 0172-4568 ;  |v 8 
500 |a "Reprint of the 1978 edition with a new preface." 
504 |a Includes bibliographical references (pages 208-213) and index. 
588 0 |a Print version record. 
505 0 |a Random Processes: Markov Times -- Optimal Stopping of Markov Sequences -- Optimal Stopping of Markov Processes -- Some Applications to Problems of Mathematical Statistics. 
520 |a Although three decades have passed since first publication of this book reprinted now as a result of popular demand, the content remains up-to-date and interesting for many researchers as is shown by the many references to it in current publications. The "ground floor" of Optimal Stopping Theory was constructed by A. Wald in his sequential analysis in connection with the testing of statistical hypotheses by non-traditional (sequential) methods. It was later discovered that these methods have, in idea, a close connection to the general theory of stochastic optimization for random processes. The area of application of the Optimal Stopping Theory is very broad. It is sufficient at this point to emphasise that its methods are well tailored to the study of American ( -type) options (in mathematics of finance and financial engineering), where a buyer has the freedom to exercise an option at any stopping time. In this book, the general theory of the construction of optimal stopping policies is developed for the case of Markov processes in discrete and continuous time. One chapter is devoted specially to the applications that address problems of the testing of statistical hypotheses, and quickest detection of the time of change of the probability characteristics of the observable processes. The author, A.N. Shiryaev, is one of the leading experts of the field and gives an authoritative treatment of a subject that, 30 years after original publication of this book, is proving increasingly important 
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650 0 |a Sequential analysis. 
650 0 |a Optimal stopping (Mathematical statistics) 
650 6 |a Analyse séquentielle. 
650 6 |a Arrêt optimal (Statistique mathématique) 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 0 7 |a Análisis secuencial  |2 embucm 
650 7 |a Optimal stopping (Mathematical statistics)  |2 fast 
650 7 |a Sequential analysis  |2 fast 
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830 0 |a Applications of mathematics ;  |v 8. 
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