A Basic Course In Probability Theory

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A Basic Course in Probability Theory

Author : Rabi Bhattacharya,Edward C. Waymire
Publisher : Springer
Page : 265 pages
File Size : 42,7 Mb
Release : 2017-02-13
Category : Mathematics
ISBN : 9783319479743

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A Basic Course in Probability Theory by Rabi Bhattacharya,Edward C. Waymire Pdf

This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications. In this second edition, the text has been reorganized for didactic purposes, new exercises have been added and basic theory has been expanded. General Markov dependent sequences and their convergence to equilibrium is the subject of an entirely new chapter. The introduction of conditional expectation and conditional probability very early in the text maintains the pedagogic innovation of the first edition; conditional expectation is illustrated in detail in the context of an expanded treatment of martingales, the Markov property, and the strong Markov property. Weak convergence of probabilities on metric spaces and Brownian motion are two topics to highlight. A selection of large deviation and/or concentration inequalities ranging from those of Chebyshev, Cramer–Chernoff, Bahadur–Rao, to Hoeffding have been added, with illustrative comparisons of their use in practice. This also includes a treatment of the Berry–Esseen error estimate in the central limit theorem. The authors assume mathematical maturity at a graduate level; otherwise the book is suitable for students with varying levels of background in analysis and measure theory. For the reader who needs refreshers, theorems from analysis and measure theory used in the main text are provided in comprehensive appendices, along with their proofs, for ease of reference. Rabi Bhattacharya is Professor of Mathematics at the University of Arizona. Edward Waymire is Professor of Mathematics at Oregon State University. Both authors have co-authored numerous books, including a series of four upcoming graduate textbooks in stochastic processes with applications.

A Basic Course in Probability Theory

Author : Rabi Bhattacharya,Edward C. Waymire
Publisher : Springer Science & Business Media
Page : 217 pages
File Size : 44,7 Mb
Release : 2007-07-08
Category : Mathematics
ISBN : 9780387719399

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A Basic Course in Probability Theory by Rabi Bhattacharya,Edward C. Waymire Pdf

Introductory Probability is a pleasure to read and provides a fine answer to the question: How do you construct Brownian motion from scratch, given that you are a competent analyst? There are at least two ways to develop probability theory. The more familiar path is to treat it as its own discipline, and work from intuitive examples such as coin flips and conundrums such as the Monty Hall problem. An alternative is to first develop measure theory and analysis, and then add interpretation. Bhattacharya and Waymire take the second path.

A Basic Course In Probability Theory

Author : Bhattacharya
Publisher : Unknown
Page : 232 pages
File Size : 48,8 Mb
Release : 2009-11-01
Category : Electronic
ISBN : 8184893760

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A Basic Course In Probability Theory by Bhattacharya Pdf

A Basic Course in Measure and Probability

Author : Ross Leadbetter,Stamatis Cambanis,Vladas Pipiras
Publisher : Cambridge University Press
Page : 375 pages
File Size : 43,8 Mb
Release : 2014-01-30
Category : Mathematics
ISBN : 9781107020405

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A Basic Course in Measure and Probability by Ross Leadbetter,Stamatis Cambanis,Vladas Pipiras Pdf

A concise introduction covering all of the measure theory and probability most useful for statisticians.

A Course in Probability Theory

Author : Kai Lai Chung
Publisher : Academic Press
Page : 365 pages
File Size : 45,5 Mb
Release : 2014-06-28
Category : Mathematics
ISBN : 9780080570402

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A Course in Probability Theory by Kai Lai Chung Pdf

This book contains about 500 exercises consisting mostly of special cases and examples, second thoughts and alternative arguments, natural extensions, and some novel departures. With a few obvious exceptions they are neither profound nor trivial, and hints and comments are appended to many of them. If they tend to be somewhat inbred, at least they are relevant to the text and should help in its digestion. As a bold venture I have marked a few of them with a * to indicate a "must", although no rigid standard of selection has been used. Some of these are needed in the book, but in any case the reader's study of the text will be more complete after he has tried at least those problems.

Basic Probability Theory with Applications

Author : Mario Lefebvre
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 49,9 Mb
Release : 2009-10-03
Category : Mathematics
ISBN : 9780387749952

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Basic Probability Theory with Applications by Mario Lefebvre Pdf

The main intended audience for this book is undergraduate students in pure and applied sciences, especially those in engineering. Chapters 2 to 4 cover the probability theory they generally need in their training. Although the treatment of the subject is surely su?cient for non-mathematicians, I intentionally avoided getting too much into detail. For instance, topics such as mixed type random variables and the Dirac delta function are only brie?y mentioned. Courses on probability theory are often considered di?cult. However, after having taught this subject for many years, I have come to the conclusion that one of the biggest problems that the students face when they try to learn probability theory, particularly nowadays, is their de?ciencies in basic di?erential and integral calculus. Integration by parts, for example, is often already forgotten by the students when they take a course on probability. For this reason, I have decided to write a chapter reviewing the basic elements of di?erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e?ort was made to give the readers a good idea of the use in probability theory of the concepts they should already know. Chapter 2 presents the main results of what is known as elementary probability, including Bayes’ rule and elements of combinatorial analysis.

A First Course in Probability

Author : Sheldon M. Ross
Publisher : Unknown
Page : 536 pages
File Size : 52,9 Mb
Release : 2002
Category : Probabilities
ISBN : UOM:39076002858251

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A First Course in Probability by Sheldon M. Ross Pdf

P. 15.

Basic Probability Theory

Author : Robert B. Ash
Publisher : Courier Corporation
Page : 354 pages
File Size : 47,9 Mb
Release : 2008-06-26
Category : Mathematics
ISBN : 9780486466286

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Basic Probability Theory by Robert B. Ash Pdf

This introduction to more advanced courses in probability and real analysis emphasizes the probabilistic way of thinking, rather than measure-theoretic concepts. Geared toward advanced undergraduates and graduate students, its sole prerequisite is calculus. Taking statistics as its major field of application, the text opens with a review of basic concepts, advancing to surveys of random variables, the properties of expectation, conditional probability and expectation, and characteristic functions. Subsequent topics include infinite sequences of random variables, Markov chains, and an introduction to statistics. Complete solutions to some of the problems appear at the end of the book.

A Course in Probability Theory

Author : Kai Lai Chung
Publisher : Elsevier
Page : 419 pages
File Size : 50,7 Mb
Release : 2000-10-17
Category : Mathematics
ISBN : 9780080522982

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A Course in Probability Theory by Kai Lai Chung Pdf

Since the publication of the first edition of this classic textbook over thirty years ago, tens of thousands of students have used A Course in Probability Theory. New in this edition is an introduction to measure theory that expands the market, as this treatment is more consistent with current courses. While there are several books on probability, Chung's book is considered a classic, original work in probability theory due to its elite level of sophistication.

Probability Theory

Author : Achim Klenke
Publisher : Springer Science & Business Media
Page : 621 pages
File Size : 50,9 Mb
Release : 2007-12-31
Category : Mathematics
ISBN : 9781848000483

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Probability Theory by Achim Klenke Pdf

Aimed primarily at graduate students and researchers, this text is a comprehensive course in modern probability theory and its measure-theoretical foundations. It covers a wide variety of topics, many of which are not usually found in introductory textbooks. The theory is developed rigorously and in a self-contained way, with the chapters on measure theory interlaced with the probabilistic chapters in order to display the power of the abstract concepts in the world of probability theory. In addition, plenty of figures, computer simulations, biographic details of key mathematicians, and a wealth of examples support and enliven the presentation.

A Course in Probability Theory

Author : Kai Lai Chung
Publisher : Unknown
Page : 365 pages
File Size : 54,7 Mb
Release : 1974
Category : Probabilities
ISBN : LCCN:10018569

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A Course in Probability Theory by Kai Lai Chung Pdf

Probability: A Graduate Course

Author : Allan Gut
Publisher : Springer Science & Business Media
Page : 608 pages
File Size : 44,5 Mb
Release : 2006-03-16
Category : Mathematics
ISBN : 9780387273327

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Probability: A Graduate Course by Allan Gut Pdf

This textbook on the theory of probability starts from the premise that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by explanations of the three main subjects in probability: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales.

Probability Theory

Author : Nikolai Dokuchaev
Publisher : World Scientific Publishing Company
Page : 224 pages
File Size : 52,7 Mb
Release : 2015-06-12
Category : Business & Economics
ISBN : 9789814678056

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Probability Theory by Nikolai Dokuchaev Pdf

This book provides a systematic, self-sufficient and yet short presentation of the mainstream topics on introductory Probability Theory with some selected topics from Mathematical Statistics. It is suitable for a 10- to 14-week course for second- or third-year undergraduate students in Science, Mathematics, Statistics, Finance, or Economics, who have completed some introductory course in Calculus. There is a sufficient number of problems and solutions to cover weekly tutorials.

Probability Theory

Author : Yakov G. Sinai
Publisher : Springer Science & Business Media
Page : 148 pages
File Size : 46,5 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9783662028452

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Probability Theory by Yakov G. Sinai Pdf

Sinai's book leads the student through the standard material for ProbabilityTheory, with stops along the way for interesting topics such as statistical mechanics, not usually included in a book for beginners. The first part of the book covers discrete random variables, using the same approach, basedon Kolmogorov's axioms for probability, used later for the general case. The text is divided into sixteen lectures, each covering a major topic. The introductory notions and classical results are included, of course: random variables, the central limit theorem, the law of large numbers, conditional probability, random walks, etc. Sinai's style is accessible and clear, with interesting examples to accompany new ideas. Besides statistical mechanics, other interesting, less common topics found in the book are: percolation, the concept of stability in the central limit theorem and the study of probability of large deviations. Little more than a standard undergraduate course in analysis is assumed of the reader. Notions from measure theory and Lebesgue integration are introduced in the second half of the text. The book is suitable for second or third year students in mathematics, physics or other natural sciences. It could also be usedby more advanced readers who want to learn the mathematics of probability theory and some of its applications in statistical physics.

Introduction to Probability

Author : Charles Miller Grinstead,James Laurie Snell
Publisher : American Mathematical Soc.
Page : 536 pages
File Size : 41,7 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.