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Stable Non-Gaussian Random Processes, Shaked, Moshe


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Цена: 193950.00T
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Автор: Shaked, Moshe
Название:  Stable Non-Gaussian Random Processes
ISBN: 9780412051715
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0412051710
Обложка/Формат: Hardback
Страницы: 632
Вес: 1.07 кг.
Дата издания: 01.06.1994
Серия: Stochastic modeling series
Язык: English
Размер: 245 x 164 x 45
Читательская аудитория: Professional & vocational
Подзаголовок: Stochastic models with infinite variance
Рейтинг:
Поставляется из: Европейский союз

Stable Non-Gaussian Self-Similar Processes with Stationary Increments

Автор: Vladas Pipiras; Murad S. Taqqu
Название: Stable Non-Gaussian Self-Similar Processes with Stationary Increments
ISBN: 3319623303 ISBN-13(EAN): 9783319623306
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity.

Asymptotic Properties of Permanental Sequences: Related to Birth and Death Processes and Autoregressive Gaussian Sequences

Автор: Marcus Michael B., Rosen Jay
Название: Asymptotic Properties of Permanental Sequences: Related to Birth and Death Processes and Autoregressive Gaussian Sequences
ISBN: 3030694844 ISBN-13(EAN): 9783030694845
Издательство: Springer
Цена: 65210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This SpringerBriefs employs a novel approach to obtain the precise asymptotic behavior at infinity of a large class of permanental sequences related to birth and death processes and autoregressive Gaussian sequences using techniques from the theory of Gaussian processes and Markov chains.

Twenty Lectures about Gaussian Processes

Автор: Piterbarg Vladimir Ilich
Название: Twenty Lectures about Gaussian Processes
ISBN: 0984422196 ISBN-13(EAN): 9780984422197
Издательство: Неизвестно
Рейтинг:
Цена: 54250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Filofax Personal Saffiano organiser in pear combines a sophisticated classic leather-look cover in a bright on trend colour with a simple personal organiser construction and clean lines. The cover is made from PU with a classic cross-grain effect, whilst the interior is a combination of the external PU and colour-matched polyester. The closure is a concealed popper. The Filofax Personal Saffiano organiser in pear comes complete with a selection of refills and a week to view diary. The inside left cover of the organiser features 3 card pockets and 1 larger pocket. The inside right cover has a notepad pocket and a colour matched elastic pen loop. The organiser has a ring mechanism with 6 rings of 23mm to fit paper size 95mm x 171mm.

Gaussian Random Processes

Автор: A.B. Aries; I.A. Ibragimov; Y.A. Rozanov
Название: Gaussian Random Processes
ISBN: 038790302X ISBN-13(EAN): 9780387903026
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book deals mainly with three problems involving Gaussian stationary processes. The second problem mentioned above is closely related with problems involving ergodic theory of Gaussian dynamic systems as well as prediction theory of stationary processes.

Gaussian Processes on Trees

Автор: Bovier
Название: Gaussian Processes on Trees
ISBN: 1107160499 ISBN-13(EAN): 9781107160491
Издательство: Cambridge Academ
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Цена: 62310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Branching Brownian motion is a key model at the crossroads of value statistics for Gaussian processes, statistical physics, and non-linear partial differential equations. This book gives a concise introduction for graduate students and researchers leading up to the most recent developments in this active area of research.

Markov Processes, Gaussian Processes, and Local Times

Автор: Marcus
Название: Markov Processes, Gaussian Processes, and Local Times
ISBN: 1107403758 ISBN-13(EAN): 9781107403758
Издательство: Cambridge Academ
Рейтинг:
Цена: 80250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Two foremost researchers present important advances in stochastic process theory by linking well-understood (Gaussian) and less well-understood (Markov) classes of processes. It builds to this material through `mini-courses` on the relevant ingredients, which assume only measure-theoretic probability. This original, readable 2006 book is for researchers and advanced graduate students.

Handbook for Applied Modeling: Non-Gaussian and Correlated Data

Автор: Jamie D. Riggs
Название: Handbook for Applied Modeling: Non-Gaussian and Correlated Data
ISBN: 1316601056 ISBN-13(EAN): 9781316601051
Издательство: Cambridge Academ
Рейтинг:
Цена: 40130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.

Statistical Mechanics for Athermal Fluctuation

Автор: Kiyoshi Kanazawa
Название: Statistical Mechanics for Athermal Fluctuation
ISBN: 9811063303 ISBN-13(EAN): 9789811063305
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

The author investigates athermal fluctuation from the viewpoints of statistical mechanics in this thesis. Stochastic methods are theoretically very powerful in describing fluctuation of thermodynamic quantities in small systems on the level of a single trajectory and have been recently developed on the basis of stochastic thermodynamics. This thesis proposes, for the first time, a systematic framework to describe athermal fluctuation, developing stochastic thermodynamics for non-Gaussian processes, while thermal fluctuations are mainly addressed from the viewpoint of Gaussian stochastic processes in most of the conventional studies.

First, the book provides an elementary introduction to the stochastic processes and stochastic thermodynamics. The author derives a Langevin-like equation with non-Gaussian noise as a minimal stochastic model for athermal systems, and its analytical solution by developing systematic expansions is shown as the main result. Furthermore, the a

uthor shows a thermodynamic framework for such non-Gaussian fluctuations, and studies some thermodynamics phenomena, i.e. heat conduction and energy pumping, which shows distinct characteristics from conventional thermodynamics. The theory introduced in the book would be a systematic foundation to describe dynamics of athermal fluctuation quantitatively and to analyze their thermodynamic properties on the basis of stochastic methods.


Stochastic Analysis for Gaussian Random Processes and Fields

Автор: Mandrekar, Vidyadhar S.
Название: Stochastic Analysis for Gaussian Random Processes and Fields
ISBN: 0367738147 ISBN-13(EAN): 9780367738143
Издательство: Taylor&Francis
Рейтинг:
Цена: 48990.00 T
Наличие на складе: Нет в наличии.

Gaussian and Non-Gaussian Linear Time Series and Random Fields

Автор: Murray Rosenblatt
Название: Gaussian and Non-Gaussian Linear Time Series and Random Fields
ISBN: 1461270677 ISBN-13(EAN): 9781461270676
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The principal focus here is on autoregressive moving average models and analogous random fields, with probabilistic and statistical questions also being discussed.

Statistical Mechanics for Athermal Fluctuation

Автор: Kiyoshi Kanazawa
Название: Statistical Mechanics for Athermal Fluctuation
ISBN: 981134857X ISBN-13(EAN): 9789811348570
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Поставка под заказ.

Handbook for Applied Modeling: Non-Gaussian and Correlated Data

Автор: Jamie D. Riggs, Trent L. Lalonde
Название: Handbook for Applied Modeling: Non-Gaussian and Correlated Data
ISBN: 1107146992 ISBN-13(EAN): 9781107146990
Издательство: Cambridge Academ
Рейтинг:
Цена: 107710.00 T
Наличие на складе: Невозможна поставка.
Описание: Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.


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