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Limit Theorems for Multi-Indexed Sums of Random Variables, Oleg Klesov


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Автор: Oleg Klesov
Название:  Limit Theorems for Multi-Indexed Sums of Random Variables
ISBN: 9783662443873
Издательство: Springer
Классификация:



ISBN-10: 3662443872
Обложка/Формат: Hardcover
Страницы: 483
Вес: 0.87 кг.
Дата издания: 24.10.2014
Серия: Probability Theory and Stochastic Modelling
Язык: English
Издание: 2014 ed.
Иллюстрации: 2 illustrations, black and white; xviii, 483 p. 2 illus.
Размер: 234 x 156 x 27
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Applications of the described theory include Gibbs fields, spin glasses, polymer models, image analysis and random shapes.Limit theorems form the backbone of probability theory and statistical theory alike.

Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 65210.00 T
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

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
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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.

Uniform Central Limit Theorems

Автор: Dudley
Название: Uniform Central Limit Theorems
ISBN: 0521738415 ISBN-13(EAN): 9780521738415
Издательство: Cambridge Academ
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Цена: 51750.00 T
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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 and Applications of Set-Valued and Fuzzy Set-Valued Random Variables

Автор: Shoumei Li; Y. Ogura; V. Kreinovich
Название: Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables
ISBN: 9048161398 ISBN-13(EAN): 9789048161393
Издательство: Springer
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Цена: 93160.00 T
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Описание: After the pioneering works by Robbins {1944, 1945) and Choquet (1955), the notation of a set-valued random variable (called a random closed set in literatures) was systematically introduced by Kendall {1974) and Matheron {1975).

Asymptotic Behaviour of Linearly Transformed Sums of Random Variables

Автор: V.V. Buldygin; Serguei Solntsev
Название: Asymptotic Behaviour of Linearly Transformed Sums of Random Variables
ISBN: 0792346327 ISBN-13(EAN): 9780792346326
Издательство: Springer
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Цена: 121110.00 T
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Описание: Deals with the almost sure asymptotic behaviour of linearly transformed sequences of independent random variables, vectors and elements of topological vector spaces. This book is intended for experts in probability theory and theory of random processes.

Limit Theory for Mixing Dependent Random Variables

Автор: Lin Zhengyan; Lu Chuanrong
Название: Limit Theory for Mixing Dependent Random Variables
ISBN: 0792342194 ISBN-13(EAN): 9780792342199
Издательство: Springer
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Цена: 102480.00 T
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Описание: This work examines limit behaviour of dependent random variables, the so-called mixing random variables. It includes results which cover recent developments, such as basic properties of mixing variables, powerful probability and moment inequalities, and weak and strong convergence.

Longitudinal Research with Latent Variables

Автор: Kees van Montfort; Johan H.L. Oud; Albert Satorra
Название: Longitudinal Research with Latent Variables
ISBN: 3642425720 ISBN-13(EAN): 9783642425721
Издательство: Springer
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Цена: 111790.00 T
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Описание: Since Charles Spearman published his seminal paper on factor analysis in 1904 and Karl Joresk og replaced the observed variables in an econometric structural equation model by latent factors in 1970, causal modelling by means of latent variables has become the standard in the social and behavioural sciences.

Asymptotics for Associated Random Variables

Автор: Paulo Eduardo Oliveira
Название: Asymptotics for Associated Random Variables
ISBN: 3642441270 ISBN-13(EAN): 9783642441271
Издательство: Springer
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Цена: 88500.00 T
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Описание: The book concerns the notion of association in probability and statistics. The goal of this book is to bring together the bulk of these results, presenting the theory in a unified way, explaining relations and implications of the results.

Internal Variables in Thermoelasticity

Автор: Arkadi Berezovski; Peter V?n
Название: Internal Variables in Thermoelasticity
ISBN: 3319569333 ISBN-13(EAN): 9783319569338
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book describes an effective method for modeling advanced materials like polymers, composite materials and biomaterials, which are, as a rule, inhomogeneous.

Fast Variables in Stochastic Population Dynamics

Автор: George William Albert Constable
Название: Fast Variables in Stochastic Population Dynamics
ISBN: 3319212176 ISBN-13(EAN): 9783319212173
Издательство: Springer
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Цена: 102480.00 T
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Описание: In this thesis two variants of the fast variable elimination method are developed. They are intuitive, simple to implement and give results which are in very good agreement with those found from numerical simulations. The relative simplicity of the techniques makes them ideal for applying to problems featuring demographic stochasticity, for experts and non-experts alike. Within the context of mathematical modelling, fast variable elimination is one of the central tools with which one can simplify a multivariate problem. When used in the context of of deterministic systems, the theory is quite standard, but when stochastic effects are present, it becomes less straightforward to apply. While the introductory and background chapters form an excellent primer to the theory of stochastic population dynamics, the techniques developed can be applied to systems exhibiting a separation of timescales in a variety of fields including population genetics, ecology and epidemiology.

Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables

Автор: In?s Couso; Didier Dubois; Luciano S?nchez
Название: Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables
ISBN: 3319086103 ISBN-13(EAN): 9783319086101
Издательство: Springer
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Цена: 56590.00 T
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Описание: This short book provides a unified view of the history and theory of random sets and fuzzy random variables, with special emphasis on its use for representing higher-order non-statistical uncertainty about statistical experiments.

Ordered Random Variables: Theory and Applications

Автор: Shahbaz
Название: Ordered Random Variables: Theory and Applications
ISBN: 9462392242 ISBN-13(EAN): 9789462392243
Издательство: Springer
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Цена: 102480.00 T
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Описание:

Ordered Random Variables have attracted several authors. The basic building block of Ordered Random Variables is Order Statistics which has several applications in extreme value theory and ordered estimation. The general model for ordered random variables, known as Generalized Order Statistics has been introduced relatively recently by Kamps (1995).

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