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Limit Theorems in Probability, Statistics and Number Theory

Limit Theorems in Probability, Statistics and Number Theory
Author: Peter Eichelsbacher
Publisher: Springer Science & Business Media
Total Pages: 317
Release: 2013-04-23
Genre: Mathematics
ISBN: 3642360688

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​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 Götze, a noted expert in this field.


Limit Theorems of Probability Theory

Limit Theorems of Probability Theory
Author: Yu.V. Prokhorov
Publisher: Springer Science & Business Media
Total Pages: 280
Release: 2013-03-14
Genre: Mathematics
ISBN: 3662041723

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A collection of research level surveys on certain topics in probability theory by a well-known group of researchers. The book will be of interest to graduate students and researchers.


Probabilistic Number Theory II

Probabilistic Number Theory II
Author: P.D.T.A. Elliott
Publisher: Springer Science & Business Media
Total Pages: 391
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461299926

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In this volume we study the value distribution of arithmetic functions, allowing unbounded renormalisations. The methods involve a synthesis of Probability and Number Theory; sums of independent infinitesimal random variables playing an important role. A central problem is to decide when an additive arithmetic function fin) admits a renormalisation by real functions a(x) and {3(x) > 0 so that asx ~ 00 the frequencies vx(n;f (n) - a(x) :s;; z {3 (x) ) converge weakly; (see Notation). In contrast to volume one we allow {3(x) to become unbounded with x. In particular, we investigate to what extent one can simulate the behaviour of additive arithmetic functions by that of sums of suit ably defined independent random variables. This fruiful point of view was intro duced in a 1939 paper of Erdos and Kac. We obtain their (now classical) result in Chapter 12. Subsequent methods involve both Fourier analysis on the line, and the appli cation of Dirichlet series. Many additional topics are considered. We mention only: a problem of Hardy and Ramanujan; local properties of additive arithmetic functions; the rate of convergence of certain arithmetic frequencies to the normal law; the arithmetic simulation of all stable laws. As in Volume I the historical background of various results is discussed, forming an integral part of the text. In Chapters 12 and 19 these considerations are quite extensive, and an author often speaks for himself.


A History of the Central Limit Theorem

A History of the Central Limit Theorem
Author: Hans Fischer
Publisher: Springer Science & Business Media
Total Pages: 415
Release: 2010-10-08
Genre: Mathematics
ISBN: 0387878572

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This study discusses the history of the central limit theorem and related probabilistic limit theorems from about 1810 through 1950. In this context the book also describes the historical development of analytical probability theory and its tools, such as characteristic functions or moments. The central limit theorem was originally deduced by Laplace as a statement about approximations for the distributions of sums of independent random variables within the framework of classical probability, which focused upon specific problems and applications. Making this theorem an autonomous mathematical object was very important for the development of modern probability theory.


Probability: The Classical Limit Theorems

Probability: The Classical Limit Theorems
Author: Henry McKean
Publisher: Cambridge University Press
Total Pages: 487
Release: 2014-11-27
Genre: Computers
ISBN: 1107053218

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A leading authority sheds light on a variety of interesting topics in which probability theory plays a key role.


Mathematical Statistics and Limit Theorems

Mathematical Statistics and Limit Theorems
Author: Marc Hallin
Publisher: Springer
Total Pages: 326
Release: 2015-04-07
Genre: Mathematics
ISBN: 3319124420

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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. The book brings together contributions from invited international experts to provide an up-to-date survey of the field. Written in textbook style, this collection of original material addresses researchers, PhD and advanced Master students with a solid grasp of mathematical statistics and probability theory.


The Life and Times of the Central Limit Theorem

The Life and Times of the Central Limit Theorem
Author: William J. Adams
Publisher: American Mathematical Soc.
Total Pages: 218
Release: 2009-11-25
Genre: Mathematics
ISBN: 0821848992

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About the First Edition: The study of any topic becomes more meaningful if one also studies the historical development that resulted in the final theorem. ... This is an excellent book on mathematics in the making. --Philip Peak, The Mathematics Teacher, May, 1975 I find the book very interesting. It contains valuable information and useful references. It can be recommended not only to historians of science and mathematics but also to students of probability and statistics. --Wei-Ching Chang, Historica Mathematica, August, 1976 In the months since I wrote ... I have read it from cover to cover at least once and perused it here and there a number of times. I still find it a very interesting and worthwhile contribution to the history of probability and statistics. --Churchill Eisenhart, past president of the American Statistical Association, in a letter to the author, February 3, 1975 The name Central Limit Theorem covers a wide variety of results involving the determination of necessary and sufficient conditions under which sums of independent random variables, suitably standardized, have cumulative distribution functions close to the Gaussian distribution. As the name Central Limit Theorem suggests, it is a centerpiece of probability theory which also carries over to statistics. Part One of The Life and Times of the Central Limit Theorem, Second Edition traces its fascinating history from seeds sown by Jacob Bernoulli to use of integrals of $\exp (x^2)$ as an approximation tool, the development of the theory of errors of observation, problems in mathematical astronomy, the emergence of the hypothesis of elementary errors, the fundamental work of Laplace, and the emergence of an abstract Central Limit Theorem through the work of Chebyshev, Markov and Lyapunov. This closes the classical period of the life of the Central Limit Theorem, 1713-1901. The second part of the book includes papers by Feller and Le Cam, as well as comments by Doob, Trotter, and Pollard, describing the modern history of the Central Limit Theorem (1920-1937), in particular through contributions of Lindeberg, Cramer, Levy, and Feller. The Appendix to the book contains four fundamental papers by Lyapunov on the Central Limit Theorem, made available in English for the first time.


Limit Theorems for Associated Random Fields and Related Systems

Limit Theorems for Associated Random Fields and Related Systems
Author: Aleksandr Vadimovich Bulinski?
Publisher: World Scientific
Total Pages: 447
Release: 2007
Genre: Mathematics
ISBN: 9812709401

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This volume is devoted to the study of asymptotic properties of wide classes of stochastic systems arising in mathematical statistics, percolation theory, statistical physics and reliability theory. Attention is paid not only to positive and negative associations introduced in the pioneering papers by Harris, Lehmann, Esary, Proschan, Walkup, Fortuin, Kasteleyn and Ginibre, but also to new and more general dependence conditions. Naturally, this scope comprises families of independent real-valued random variables. A variety of important results and examples of Markov processes, random measures, stable distributions, Ising ferromagnets, interacting particle systems, stochastic differential equations, random graphs and other models are provided. For such random systems, it is worthwhile to establish principal limit theorems of the modern probability theory (central limit theorem for random fields, weak and strong invariance principles, functional law of the iterated logarithm etc.) and discuss their applications.There are 434 items in the bibliography.The book is self-contained, provides detailed proofs, for reader's convenience some auxiliary results are included in the Appendix (e.g. the classical Hoeffding lemma, basic electric current theory etc.).


Uniform Central Limit Theorems

Uniform Central Limit Theorems
Author: R. M. Dudley
Publisher: Cambridge University Press
Total Pages: 452
Release: 1999-07-28
Genre: Mathematics
ISBN: 0521461022

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This treatise by an acknowledged expert includes several topics not found in any previous book.