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Uniform Central Limit Theorems, Dudley


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Цена: 51750.00T
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Автор: Dudley
Название:  Uniform Central Limit Theorems
Перевод названия: Р. Дудли: Центральная предельная теорема
ISBN: 9780521738415
Издательство: Cambridge Academ
Классификация:
ISBN-10: 0521738415
Обложка/Формат: Paperback
Страницы: 482
Вес: 0.65 кг.
Дата издания: 24.02.2014
Серия: Cambridge studies in advanced mathematics
Язык: English
Издание: 2 revised edition
Размер: 228 x 152 x 26
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Calculus & mathematical analysis,Probability & statistics,Combinatorics & graph theory,Stochastics, MATHEMATICS / Probability & Statistics / General
Основная тема: Statistics and probability
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: This second edition of a classic work has been considerably expanded and revised, now with complete proofs of all results, including several new theorems not included in the first edition, such as Talagrand`s generic chaining approach to boundedness of Gaussian processes and Gine and Zinn`s characterization of uniform Donsker classes.

Uniform Central Limit Theorems

Автор: Dudley
Название: Uniform Central Limit Theorems
ISBN: 0521498848 ISBN-13(EAN): 9780521498845
Издательство: Cambridge Academ
Рейтинг:
Цена: 98210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition of a classic work has been considerably expanded and revised, now with complete proofs of all results, including several new theorems not included in the first edition, such as Talagrand`s generic chaining approach to boundedness of Gaussian processes and Gine and Zinn`s characterization of uniform Donsker classes.

Limit Theorems for Stochastic Processes

Автор: Jacod Jean, Shiryaev Albert N.
Название: Limit Theorems for Stochastic Processes
ISBN: 3540439323 ISBN-13(EAN): 9783540439325
Издательство: Springer
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Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochastic integrals. Apart from a few exceptions essentially concerning diffusion processes, it is only recently that the relation between the two theories has been thoroughly studied. The authors of this Grundlehren volume, two of the international leaders in the field, propose a systematic exposition of convergence in law for stochastic processes, from the point of view of semimartingale theory, with emphasis on results that are useful for mathematical theory and mathematical statistics. This leads them to develop in detail some particularly useful parts of the general theory of stochastic processes, such as martingale problems, and absolute continuity or contiguity results. The book contains an introduction to the theory of martingales and semimartingales, random measures stochastic integrales, Skorokhod topology, etc., as well as a large number of results which have never appeared in book form, and some entirely new results. The second edition contains some additions to the text and references. Some parts are completely rewritten.

Limit Theorems For Nonlinear Cointegrating Regression

Автор: Wang Qiying
Название: Limit Theorems For Nonlinear Cointegrating Regression
ISBN: 9814675628 ISBN-13(EAN): 9789814675628
Издательство: World Scientific Publishing
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Цена: 103490.00 T
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Описание: This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression.

Limit Theorems for Stochastic Processes

Название: Limit Theorems for Stochastic Processes
ISBN: 144711051X ISBN-13(EAN): 9781447110514
Издательство: Springer
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Цена: 81050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is the first to present a state-of-the-art overview of this field, with many results published for the first time. It covers the general conditions as well as the basic applications of the theory, and it covers and demystifies the vast and technically demanding Russian literature in detail.


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