Creating Modern Probability

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Creating Modern Probability

Author : Jan von Plato
Publisher : Cambridge University Press
Page : 336 pages
File Size : 44,7 Mb
Release : 1998-01-12
Category : Mathematics
ISBN : 0521597358

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Creating Modern Probability by Jan von Plato Pdf

In this book the author charts the history and development of modern probability theory.

Foundations of Modern Probability

Author : Olav Kallenberg
Publisher : Springer Science & Business Media
Page : 670 pages
File Size : 54,8 Mb
Release : 2002-01-08
Category : Mathematics
ISBN : 0387953132

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Foundations of Modern Probability by Olav Kallenberg Pdf

The first edition of this single volume on the theory of probability has become a highly-praised standard reference for many areas of probability theory. Chapters from the first edition have been revised and corrected, and this edition contains four new chapters. New material covered includes multivariate and ratio ergodic theorems, shift coupling, Palm distributions, Harris recurrence, invariant measures, and strong and weak ergodicity.

Modern Probability Theory

Author : B. Ramdas Bhat
Publisher : Unknown
Page : 256 pages
File Size : 45,7 Mb
Release : 1981
Category : Probabilities
ISBN : 085226061X

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Modern Probability Theory by B. Ramdas Bhat Pdf

A Modern Approach to Probability Theory

Author : Bert E. Fristedt,Lawrence F. Gray
Publisher : Springer Science & Business Media
Page : 775 pages
File Size : 53,8 Mb
Release : 2013-11-21
Category : Mathematics
ISBN : 9781489928375

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A Modern Approach to Probability Theory by Bert E. Fristedt,Lawrence F. Gray Pdf

Students and teachers of mathematics and related fields will find this book a comprehensive and modern approach to probability theory, providing the background and techniques to go from the beginning graduate level to the point of specialization in research areas of current interest. The book is designed for a two- or three-semester course, assuming only courses in undergraduate real analysis or rigorous advanced calculus, and some elementary linear algebra. A variety of applications—Bayesian statistics, financial mathematics, information theory, tomography, and signal processing—appear as threads to both enhance the understanding of the relevant mathematics and motivate students whose main interests are outside of pure areas.

现代概率论基础

Author : Olav Kallenberg
Publisher : Unknown
Page : 638 pages
File Size : 51,9 Mb
Release : 2002
Category : Probabilities
ISBN : 7030166728

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现代概率论基础 by Olav Kallenberg Pdf

中国科学院科学出版基金资助出版

Modern Probability Theory

Author : Rui Zong Yeh
Publisher : Unknown
Page : 312 pages
File Size : 54,7 Mb
Release : 1973
Category : Mathematics
ISBN : UOM:39015015714275

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Modern Probability Theory by Rui Zong Yeh Pdf

A Modern Introduction to Probability and Statistics

Author : F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
Publisher : Springer Science & Business Media
Page : 488 pages
File Size : 53,5 Mb
Release : 2006-03-30
Category : Mathematics
ISBN : 9781846281686

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A Modern Introduction to Probability and Statistics by F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester Pdf

Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Modern Probability Theory and Its Applications

Author : Emanuel Parzen
Publisher : Unknown
Page : 666 pages
File Size : 45,5 Mb
Release : 1960
Category : Probabilities
ISBN : UOM:39015012010628

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Modern Probability Theory and Its Applications by Emanuel Parzen Pdf

Probability

Author : Davar Khoshnevisan
Publisher : American Mathematical Soc.
Page : 242 pages
File Size : 55,6 Mb
Release : 2007
Category : Probabilities
ISBN : 9780821842157

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Probability by Davar Khoshnevisan Pdf

This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various applications. As a result, a few of the familiar topics are replaced by interesting non-standard ones. The topics range from undergraduate probability and classical limit theorems to Brownian motion and elements of stochastic calculus. Throughout, the reader will find many exciting applications of probability theory and probabilistic reasoning. There are numerous exercises, ranging from the routine to the very difficult. Each chapter concludes with historical notes.

Doeblin and Modern Probability

Author : Wolfgang Doeblin,Harry Cohn
Publisher : American Mathematical Soc.
Page : 347 pages
File Size : 40,7 Mb
Release : 1993
Category : Mathematics
ISBN : 9780821851494

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Doeblin and Modern Probability by Wolfgang Doeblin,Harry Cohn Pdf

Wolfgang Doeblin, one of the greatest probabilists of this century, died in action during World War II at the age of twenty-five. He left behind several seminal contributions which have profoundly influenced the field and continue to provide inspiration for current research. This book is based on papers presented at the conference, 'Fifty Years after Doeblin: Developments in the Theory of Markov Chains, Markov Processes, and Sums of Random Variables', held at Blaubeuren, Germany, in November 1991. Presented here for the first time is an account of Doeblin's life and work, revealing the circumstances of his tragic death in 1940. Organized into sections according to topic, the papers describe both Doeblin's original contributions as well as current developments. With contributions by top probabilists from sixteen countries, this book will interest both researchers in probability and science historians.

Modern Probability Theory

Author : B. R. Bhat
Publisher : Unknown
Page : 270 pages
File Size : 49,9 Mb
Release : 1987
Category : Electronic
ISBN : 0852260911

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Modern Probability Theory by B. R. Bhat Pdf

Probabilities in Physics

Author : Claus Beisbart,Stephan Hartmann
Publisher : Oxford University Press
Page : 450 pages
File Size : 42,7 Mb
Release : 2011-09-15
Category : Philosophy
ISBN : 9780199577439

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Probabilities in Physics by Claus Beisbart,Stephan Hartmann Pdf

This volume provides a philosophical appraisal of probabilities in all of physics. It makes sense of probabilistic statements as they occur in the various physical theories and models and presents a plausible epistemology and metaphysics of probabilities.

A History of the Central Limit Theorem

Author : Hans Fischer
Publisher : Springer Science & Business Media
Page : 415 pages
File Size : 42,9 Mb
Release : 2010-10-08
Category : Mathematics
ISBN : 9780387878577

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A History of the Central Limit Theorem by Hans Fischer Pdf

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.

The Concept of Probability in Statistical Physics

Author : Y. M. Guttmann
Publisher : Cambridge University Press
Page : 283 pages
File Size : 47,5 Mb
Release : 1999-07-13
Category : Mathematics
ISBN : 9780521621281

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The Concept of Probability in Statistical Physics by Y. M. Guttmann Pdf

A most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics.

Introduction to Probability

Author : Charles Miller Grinstead,James Laurie Snell
Publisher : American Mathematical Soc.
Page : 536 pages
File Size : 42,8 Mb
Release : 1997
Category : Mathematics
ISBN : 0821807498

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Introduction to Probability by Charles Miller Grinstead,James Laurie Snell Pdf

This text is designed for an introductory probability course at the university level for undergraduates in mathematics, the physical and social sciences, engineering, and computer science. It presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject.