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Weak Convergence of Measures, Vladimir I. Bogachev


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Цена: 107850.00T
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Автор: Vladimir I. Bogachev
Название:  Weak Convergence of Measures
ISBN: 9781470447380
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 147044738X
Обложка/Формат: Hardback
Страницы: 286
Вес: 1.21 кг.
Дата издания: 30.11.2018
Серия: Mathematical surveys and monographs
Язык: English
Размер: 254 x 178
Читательская аудитория: Professional and scholarly
Ключевые слова: Calculus & mathematical analysis,Probability & statistics
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Поставляется из: Англии
Описание: This book provides a thorough exposition of the main concepts and results related to various types of convergence of measures arising in measure theory, probability theory, functional analysis, partial differential equations, mathematical physics, and other theoretical and applied fields. Particular attention is given to weak convergence of measures. The principal material is oriented toward a broad circle of readers dealing with convergence in distribution of random variables and weak convergence of measures.The book contains the necessary background from measure theory and functional analysis. Large complementary sections aimed at researchers present the most important recent achievements. More than 100 exercises (ranging from easy introductory exercises to rather difficult problems for experienced readers) are given with hints, solutions, or references. Historic and bibliographic comments are included.The target readership includes mathematicians and physicists whose research is related to probability theory, mathematical statistics, functional analysis, and mathematical physics.
Дополнительное описание: Calculus and mathematical analysis|Probability and statistics


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: 74320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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

Weak convergence and empirical processes

Автор: Vaart, Aad Van Der Wellner, Jon A.
Название: Weak convergence and empirical processes
ISBN: 1475725477 ISBN-13(EAN): 9781475725476
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book explores weak convergence theory and empirical processes and their applications to many applications in statistics. Part two offers the theory of empirical processes in a form accessible to statisticians and probabilists.

Weakly Wandering Sequences in Ergodic Theory

Автор: Stanley Eigen; Arshag Hajian; Yuji Ito; Vidhu Pras
Название: Weakly Wandering Sequences in Ergodic Theory
ISBN: 4431564004 ISBN-13(EAN): 9784431564003
Издательство: Springer
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Цена: 79190.00 T
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Описание: In time it was shown that ww and related sequences reflected significant and deep properties of ergodic transformations that preserve an infinite measure.This monograph studies in a systematic way the role of ww and related sequences in the classification of ergodic transformations preserving an infinite measure.

Weakly Connected Neural Networks

Автор: Frank C. Hoppensteadt; Eugene M. Izhikevich
Название: Weakly Connected Neural Networks
ISBN: 1461273021 ISBN-13(EAN): 9781461273028
Издательство: Springer
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Цена: 93160.00 T
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Описание: Devoted to local and global analysis of weakly connected systems with applications to neurosciences, this book uses bifurcation theory and canonical models as the major tools of analysis.

From Bessel To Multi-Index Mittag-Leffler Functions: Enumerable Families, Series In Them And Convergence

Автор: Paneva-Konovska Jordanka
Название: From Bessel To Multi-Index Mittag-Leffler Functions: Enumerable Families, Series In Them And Convergence
ISBN: 1786340887 ISBN-13(EAN): 9781786340887
Издательство: World Scientific Publishing
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Цена: 89760.00 T
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Описание: Bessel and Mittag-Leffler functions are prominent within mathematical and scientific fields due to increasing interest in non-conventional models within applied mathematics.

Weak Convergence of Measures: Applications in Probability

Автор: Patrick Billingsley
Название: Weak Convergence of Measures: Applications in Probability
ISBN: 0898711762 ISBN-13(EAN): 9780898711769
Издательство: Mare Nostrum (Eurospan)
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Цена: 36790.00 T
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Описание: A treatment of the convergence of probability measures from the foundations to applications in limit theory for dependent random variables.

Strong and Weak Approximation of Semilinear Stochastic Evolution Equations

Автор: Raphael Kruse
Название: Strong and Weak Approximation of Semilinear Stochastic Evolution Equations
ISBN: 331902230X ISBN-13(EAN): 9783319022307
Издательство: Springer
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Цена: 32600.00 T
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Описание:

Introduction.- Stochastic Evolution Equations in Hilbert Spaces.- Optimal Strong Error Estimates for Galerkin Finite Element Methods.- A Short Review of the Malliavin Calculus in Hilbert Spaces.- A Malliavin Calculus Approach to Weak Convergence.- Numerical Experiments.- Some Useful Variations of Gronwall's Lemma.- Results on Semigroups and their Infinitesimal Generators.- A Generalized Version of Lebesgue's Theorem.- References.- Index.


Weak Continuity and Weak Lower Semicontinuity of Non-Linear Functionals

Автор: B. Dacorogna
Название: Weak Continuity and Weak Lower Semicontinuity of Non-Linear Functionals
ISBN: 3540114882 ISBN-13(EAN): 9783540114888
Издательство: Springer
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Цена: 23250.00 T
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On the Theory of Weak Turbulence for the Nonlinear Schrodinger Equation

Автор: M. Escobedo, J. J. L. Velazquez
Название: On the Theory of Weak Turbulence for the Nonlinear Schrodinger Equation
ISBN: 1470414341 ISBN-13(EAN): 9781470414344
Издательство: Mare Nostrum (Eurospan)
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Цена: 79470.00 T
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Описание: Examines the Cauchy problem for a kinetic equation arising in the weak turbulence theory for the cubic nonlinear Schrodinger equation. The authors define suitable concepts of weak and mild solutions and prove local and global well posedness results. Several qualitative properties of the solutions, including long time asymptotics, blow up results and condensation in finite time are obtained.

Asymptotic Theory of Weakly Dependent Random Processes

Автор: Emmanuel Rio
Название: Asymptotic Theory of Weakly Dependent Random Processes
ISBN: 3662543222 ISBN-13(EAN): 9783662543221
Издательство: Springer
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Цена: 102480.00 T
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Описание:

Ces notes sont consacr es aux in galit s et aux th or mes limites classiques pour les suites de variables al atoires absolument r guli res ou fortement m langeantes au sens de Rosenblatt. Le but poursuivi est de donner des outils techniques pour l' tude des processus faiblement d pendants aux statisticiens ou aux probabilistes travaillant sur ces processus.


Weak Dependence: With Examples and Applications

Автор: J?rome Dedecker; Paul Doukhan; Gabriel Lang; Jos?
Название: Weak Dependence: With Examples and Applications
ISBN: 0387699511 ISBN-13(EAN): 9780387699516
Издательство: Springer
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Цена: 121110.00 T
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Описание: Develops Doukhan/Louhichi`s 1999 idea to measure asymptotic independence of a random process.

Multidimensional Weakly Singular Integral Equations

Автор: Gennadi Vainikko
Название: Multidimensional Weakly Singular Integral Equations
ISBN: 3540568786 ISBN-13(EAN): 9783540568780
Издательство: Springer
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Цена: 23250.00 T
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Описание: The aim of this monograph is to construct effective discretization methods to solve multidimensional, weakly singular integral equations arising in the radiation transfer theory. No special knowledge of integral equations is assumed beyond that to be found in standard undergraduate courses.


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