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Universal Theory For Strong Limit Theorems Of Probability, Frolov Andrei N


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Автор: Frolov Andrei N
Название:  Universal Theory For Strong Limit Theorems Of Probability
ISBN: 9789811212826
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 9811212821
Обложка/Формат: Hardcover
Страницы: 204
Вес: 0.44 кг.
Дата издания: 25.10.2019
Серия: Mathematics
Язык: English
Размер: 229 x 152 x 13
Читательская аудитория: College/higher education
Ключевые слова: Probability & statistics, MATHEMATICS / Probability & Statistics / Multivariate Analysis,MATHEMATICS / Probability & Statistics / Stochastic,MATHEMATICS / Probability & Statistics / General
Поставляется из: Англии
Описание: This is the first book which the universal approach to strong laws of probability is discussed in. The universal theories are described for three important objects of probability theory: sums of independent random variables, processes with independent increments and renewal processes. Further generalizations are mentioned. Besides strong laws, large deviations are of independent interest. The case of infinite variations is considered as well. Readers can examine appropriate techniques and methods. Optimality of conditions is discussed.


Limit Theorems of Probability Theory

Автор: V. Bentkus; Yu.V. Prokhorov; B. Seckler; V. Statul
Название: Limit Theorems of Probability Theory
ISBN: 3642081703 ISBN-13(EAN): 9783642081705
Издательство: Springer
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Цена: 20956.00 р.
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Описание: This book consists of five parts written by different authors devoted to various problems dealing with probability limit theorems. The first part, "Classical-Type Limit Theorems for Sums ofIndependent Random Variables" (V.v. Petrov), presents a number of classical limit theorems for sums of independent random variables as well as newer related results. The presentation dwells on three basic topics: the central limit theorem, laws of large numbers and the law of the iterated logarithm for sequences of real-valued random variables. The second part, "The Accuracy of Gaussian Approximation in Banach Spaces" (V. Bentkus, F. G6tze, V. Paulauskas and A. Rackauskas), reviews various results and methods used to estimate the convergence rate in the central limit theorem and to construct asymptotic expansions in infinite-dimensional spaces. The authors con- fine themselves to independent and identically distributed random variables. They do not strive to be exhaustive or to obtain the most general results; their aim is merely to point out the differences from the finite-dimensional case and to explain certain new phenomena related to the more complex structure of Banach spaces. Also reflected here is the growing tendency in recent years to apply results obtained for Banach spaces to asymptotic problems of statistics.

Limit Theorems of Probability Theory

Автор: V. Bentkus; Yu.V. Prokhorov; B. Seckler; V. Statul
Название: Limit Theorems of Probability Theory
ISBN: 3540570454 ISBN-13(EAN): 9783540570455
Издательство: Springer
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Цена: 20956.00 р.
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Описание: A collection of research level surveys on certain topics in probability theory, this book should be of interest to graduate students and researchers.

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: 15523.00 р.
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Описание: This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression.

Weak Convergence of Stochastic Processes: With Applications to Statistical Limit Theorems

Автор: Vidyadhar S. Mandrekar
Название: Weak Convergence of Stochastic Processes: With Applications to Statistical Limit Theorems
ISBN: 3110475421 ISBN-13(EAN): 9783110475425
Издательство: Walter de Gruyter
Цена: 11148.00 р.
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Описание: The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad range of literature, are for the first time presented here in a self-contained fashion. Contents:Weak convergence of stochastic processesWeak convergence in metric spacesWeak convergence on C[0, 1] and D[0,?)Central limit theorem for semi-martingales and applicationsCentral limit theorems for dependent random variablesEmpirical processBibliography

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: 7762.00 р.
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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.

Positive Definite Kernels, Continuous Tensor Products, and Central Limit Theorems of Probability Theory

Автор: K. R. Parthasarathy; K. Schmidt
Название: Positive Definite Kernels, Continuous Tensor Products, and Central Limit Theorems of Probability Theory
ISBN: 3540059083 ISBN-13(EAN): 9783540059080
Издательство: Springer
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Цена: 3487.00 р.
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Limit Theorems in Probability, Statistics and Number Theory

Автор: Peter Eichelsbacher; Guido Elsner; Holger K?sters;
Название: Limit Theorems in Probability, Statistics and Number Theory
ISBN: 3642433960 ISBN-13(EAN): 9783642433962
Издательство: Springer
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Цена: 16769.00 р.
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Описание:

​Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit theorems have been discovered for processes in random environments, especially in connection with random matrix theory and free probability. These questions and the techniques for answering them combine asymptotic enumerative combinatorics, particle systems and approximation theory, and are important for new approaches in geometric and metric number theory as well. Thus, the contributions in this book include a wide range of applications with surprising connections ranging from longest common subsequences for words, permutation groups, random matrices and free probability to entropy problems and metric number theory.

The book is the product of a conference that took place in August 2011 in Bielefeld, Germany to celebrate the 60th birthday of Friedrich G tze, a noted expert in this field.

Uniform Central Limit Theorems

Автор: Dudley
Название: Uniform Central Limit Theorems
ISBN: 0521498848 ISBN-13(EAN): 9780521498845
Издательство: Cambridge Academ
Рейтинг:
Цена: 14731.00 р.
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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 in Probability, Statistics and Number Theory

Автор: Eichelsbacher Peter
Название: Limit Theorems in Probability, Statistics and Number Theory
ISBN: 364236067X ISBN-13(EAN): 9783642360671
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

​Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit theorems have been discovered for processes in random environments, especially in connection with random matrix theory and free probability. These questions and the techniques for answering them combine asymptotic enumerative combinatorics, particle systems and approximation theory, and are important for new approaches in geometric and metric number theory as well. Thus, the contributions in this book include a wide range of applications with surprising connections ranging from longest common subsequences for words, permutation groups, random matrices and free probability to entropy problems and metric number theory.

The book is the product of a conference that took place in August 2011 in Bielefeld, Germany to celebrate the 60th birthday of Friedrich G tze, a noted expert in this field.

Strong Limit Theorems

Автор: Lin Zhengyan; Lu Zhuarong
Название: Strong Limit Theorems
ISBN: 079231798X ISBN-13(EAN): 9780792317982
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Presents a review of the most significant developments in strong Approximation and strong Convergence in probability theory. Divided into three chapters, this book deals with Wiener and Gaussian processes. It is intended for researchers whose work involves probability theory and statistics.

Strong Limit Theorems in Noncommutative L2-Spaces

Автор: Ryszard Jajte
Название: Strong Limit Theorems in Noncommutative L2-Spaces
ISBN: 3540542140 ISBN-13(EAN): 9783540542148
Издательство: Springer
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Цена: 3492.00 р.
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Описание: Written for those familiar with probability theory, this monograph explores the noncommutative versions of fundamental classical results on the almost sure convergence in L2-spaces. It examines individual ergodic theorems and explores new techniques in von Neumann algebras.

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: 13974.00 р.
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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).


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