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Modern Concepts and Theorems of Mathematical Statistics, Edward B. Manoukian


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Автор: Edward B. Manoukian
Название:  Modern Concepts and Theorems of Mathematical Statistics
ISBN: 9781461293323
Издательство: Springer
Классификация:

ISBN-10: 1461293324
Обложка/Формат: Paperback
Страницы: 156
Вес: 0.26 кг.
Дата издания: 01.10.2011
Серия: Springer Series in Statistics
Язык: English
Размер: 234 x 156 x 10
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: With the rapid progress and development of mathematical statistical methods, it is becoming more and more important for the student, the in- structor, and the researcher in this field to have at their disposal a quick, comprehensive, and compact reference source on a very wide range of the field of modern mathematical statistics.


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.

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: 18167.00 р.
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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.

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.

Mathematical Statistics and Limit Theorems

Автор: Marc Hallin; David M. Mason; Dietmar Pfeifer; Jose
Название: Mathematical Statistics and Limit Theorems
ISBN: 3319124412 ISBN-13(EAN): 9783319124414
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This Festschrift in honour of Paul Deheuvels` 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems.

Mathematical Statistics and Limit Theorems

Автор: Marc Hallin; David M. Mason; Dietmar Pfeifer; Jose
Название: Mathematical Statistics and Limit Theorems
ISBN: 3319353942 ISBN-13(EAN): 9783319353944
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This Festschrift in honour of Paul Deheuvels` 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems.

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: 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.

Limit Theorems for Random Fields with Singular Spectrum

Автор: Nicolai Leonenko
Название: Limit Theorems for Random Fields with Singular Spectrum
ISBN: 9401059470 ISBN-13(EAN): 9789401059473
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book is devoted to an investigation of the basic problems of the the- ory of random fields which are characterized by certain singular properties (e. g., unboundedness, or vanishing) of their spectral densities. These ran- dom fields are called, the random fields with singular spectrum, long-memory fields, random fields with long-range dependence, fields with slowly decaying correlations or strongly dependent random fields by various authors. This phenomenon has been observed empirically by many scientists long before suitable mathematical models were known. The methods and results differ significantly from the theory of weakly dependent random fields. The first chapter presents basic concepts of the spectral theory of random fields, some examples of random processes and fields with singular spectrum, Tauberian and Abelian theorems for the covariance function of singular ran- dom fields. In the second chapter limit theorems for non-linear functionals of random fields with singular spectrum are proved. Chapter 3 summarizes some limit theorems for geometric functionals of random fields with long-range dependence. Limit distributions of the solutions of Burgers equation with random data via parabolic and hyperbolic rescaling are presented in chapter 4. And chapter 5 presents some problems of statistical analysis of random fields with singular spectrum. I would like to thank the editor, Michiel Hazewinkel, for his support. I am grateful to the following students and colleagues: 1. Deriev, A. Olenko, K. Rybasov, L. Sakhno, M. Sharapov, A. Sikorskii, M. Silac-BenSic. I would also like to thank V.Anh, O. Barndorff-Nielsen, Yu. Belyaev, P.

Limit Theorems for Stochastic Processes

Название: Limit Theorems for Stochastic Processes
ISBN: 144711051X ISBN-13(EAN): 9781447110514
Издательство: Springer
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Цена: 12157.00 р.
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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.

Minimax Theorems

Автор: Michel Willem
Название: Minimax Theorems
ISBN: 1461286735 ISBN-13(EAN): 9781461286738
Издательство: Springer
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Цена: 19559.00 р.
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Описание: Many boundary value problems are equivalent to Au=O (1) where A: X ---] Y is a mapping between two Banach spaces. When the problem is variational, there exists a differentiable functional 0 and e E X such that lIell > rand inf

Minimax Theorems and Qualitative Properties of the Solutions of Hemivariational Inequalities

Автор: Dumitru Motreanu; Panagiotis D. Panagiotopoulos
Название: Minimax Theorems and Qualitative Properties of the Solutions of Hemivariational Inequalities
ISBN: 1461368200 ISBN-13(EAN): 9781461368205
Издательство: Springer
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Цена: 20962.00 р.
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