Elementary Probability

Elementary Probability

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  • Author: David Stirzaker
  • Publisher: Cambridge University Press
  • ISBN: 1139441035
  • Category : Mathematics
  • Languages : en
  • Pages : 540

Now available in a fully revised and updated second edition, this well established textbook provides a straightforward introduction to the theory of probability. The presentation is entertaining without any sacrifice of rigour; important notions are covered with the clarity that the subject demands. Topics covered include conditional probability, independence, discrete and continuous random variables, basic combinatorics, generating functions and limit theorems, and an introduction to Markov chains. The text is accessible to undergraduate students and provides numerous worked examples and exercises to help build the important skills necessary for problem solving.


An Elementary Introduction to the Theory of Probability

An Elementary Introduction to the Theory of Probability

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  • Author: Boris Vladimirovich Gnedenko
  • Publisher: Courier Corporation
  • ISBN: 0486601552
  • Category : Mathematics
  • Languages : en
  • Pages : 162

This compact volume equips the reader with all the facts and principles essential to a fundamental understanding of the theory of probability. It is an introduction, no more: throughout the book the authors discuss the theory of probability for situations having only a finite number of possibilities, and the mathematics employed is held to the elementary level. But within its purposely restricted range it is extremely thorough, well organized, and absolutely authoritative. It is the only English translation of the latest revised Russian edition; and it is the only current translation on the market that has been checked and approved by Gnedenko himself. After explaining in simple terms the meaning of the concept of probability and the means by which an event is declared to be in practice, impossible, the authors take up the processes involved in the calculation of probabilities. They survey the rules for addition and multiplication of probabilities, the concept of conditional probability, the formula for total probability, Bayes's formula, Bernoulli's scheme and theorem, the concepts of random variables, insufficiency of the mean value for the characterization of a random variable, methods of measuring the variance of a random variable, theorems on the standard deviation, the Chebyshev inequality, normal laws of distribution, distribution curves, properties of normal distribution curves, and related topics. The book is unique in that, while there are several high school and college textbooks available on this subject, there is no other popular treatment for the layman that contains quite the same material presented with the same degree of clarity and authenticity. Anyone who desires a fundamental grasp of this increasingly important subject cannot do better than to start with this book. New preface for Dover edition by B. V. Gnedenko.


Radically Elementary Probability Theory

Radically Elementary Probability Theory

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  • Author: Edward Nelson
  • Publisher: Princeton University Press
  • ISBN: 9780691084749
  • Category : Mathematics
  • Languages : en
  • Pages : 112

Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes. This is made possible by using a small amount of Abraham Robinson's nonstandard analysis and not attempting to convert the results into conventional form.


Elementary Probability Theory with Stochastic Processes

Elementary Probability Theory with Stochastic Processes

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  • Author: K. L. Chung
  • Publisher: Springer Science & Business Media
  • ISBN: 1475739737
  • Category : Mathematics
  • Languages : en
  • Pages : 332

This book provides an elementary introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, amply motivated, explained and illustrated with a large number of carefully selected samples. The fourth edition adds material related to mathematical finance, as well as expansions on stable laws and martingales.


Elementary Probability for Applications

Elementary Probability for Applications

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  • Author: Rick Durrett
  • Publisher: Cambridge University Press
  • ISBN: 1139480731
  • Category : Mathematics
  • Languages : en
  • Pages : 255

This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.


Elementary Probability

Elementary Probability

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  • Author: Edward O. Thorp
  • Publisher:
  • ISBN:
  • Category : Mathematics
  • Languages : en
  • Pages : 170


From Elementary Probability to Stochastic Differential Equations with MAPLE®

From Elementary Probability to Stochastic Differential Equations with MAPLE®

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  • Author: Sasha Cyganowski
  • Publisher: Springer Science & Business Media
  • ISBN: 3642561446
  • Category : Mathematics
  • Languages : en
  • Pages : 323

This is an introduction to probabilistic and statistical concepts necessary to understand the basic ideas and methods of stochastic differential equations. Based on measure theory, which is introduced as smoothly as possible, it provides practical skills in the use of MAPLE in the context of probability and its applications. It offers to graduates and advanced undergraduates an overview and intuitive background for more advanced studies.


Elementary Probability Theory

Elementary Probability Theory

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  • Author: Kai Lai Chung
  • Publisher: Springer Science & Business Media
  • ISBN: 0387215484
  • Category : Mathematics
  • Languages : en
  • Pages : 411

This book provides an introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, which is illustrated with a large number of samples. The fourth edition adds material related to mathematical finance as well as expansions on stable laws and martingales. From the reviews: "Almost thirty years after its first edition, this charming book continues to be an excellent text for teaching and for self study." -- STATISTICAL PAPERS


Elementary Applications of Probability Theory, Second Edition

Elementary Applications of Probability Theory, Second Edition

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  • Author: Henry C. Tuckwell
  • Publisher: CRC Press
  • ISBN: 9780412576201
  • Category : Mathematics
  • Languages : en
  • Pages : 324

This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological sciences and engineering. The first chapter contains a summary of basic probability theory. Chapters two to five deal with random variables and their applications. Topics covered include geometric probability, estimation of animal and plant populations, reliability theory and computer simulation. Chapter six contains a lucid account of the convergence of sequences of random variables, with emphasis on the central limit theorem and the weak law of numbers. The next four chapters introduce random processes, including random walks and Markov chains illustrated by examples in population genetics and population growth. This edition also includes two chapters which introduce, in a manifestly readable fashion, the topic of stochastic differential equations and their applications.


Basic Probability Theory with Applications

Basic Probability Theory with Applications

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  • Author: Mario Lefebvre
  • Publisher: Springer Science & Business Media
  • ISBN: 0387749950
  • Category : Mathematics
  • Languages : en
  • Pages : 347

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.