# probability an introduction dover books on mathematics

**Download Book Probability An Introduction Dover Books On Mathematics in PDF format. You can Read Online Probability An Introduction Dover Books On Mathematics here in PDF, EPUB, Mobi or Docx formats.**

## Introduction To Probability

**Author :**John E. Freund

**ISBN :**9780486158433

**Genre :**Mathematics

**File Size :**24. 28 MB

**Format :**PDF, ePub, Docs

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Featured topics include permutations and factorials, probabilities and odds, frequency interpretation, mathematical expectation, decision making, postulates of probability, rule of elimination, much more. Exercises with some solutions. Summary. 1973 edition.

## Probability

**Author :**Samuel Goldberg

**ISBN :**9780486318547

**Genre :**Mathematics

**File Size :**69. 5 MB

**Format :**PDF, Mobi

**Download :**631

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Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, more. Includes 360 problems with answers for half.

## An Introduction To Information Theory

**Author :**Fazlollah M. Reza

**ISBN :**9780486158440

**Genre :**Mathematics

**File Size :**76. 14 MB

**Format :**PDF

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Graduate-level study for engineering students presents elements of modern probability theory, information theory, coding theory, more. Emphasis on sample space, random variables, capacity, etc. Many reference tables and extensive bibliography. 1961 edition.

## An Elementary Introduction To The Theory Of Probability

**Author :**Boris Vladimirovich Gnedenko

**ISBN :**9780486601557

**Genre :**Mathematics

**File Size :**56. 58 MB

**Format :**PDF, ePub, Mobi

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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.

## Integration Measure And Probability

**Author :**H. R. Pitt

**ISBN :**9780486488158

**Genre :**Mathematics

**File Size :**34. 15 MB

**Format :**PDF, ePub, Docs

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Introductory treatment develops the theory of integration in a general context, making it applicable to other branches of analysis. More specialized topics include convergence theorems and random sequences and functions. 1963 edition.

## Introduction To Probability Theory With Contemporary Applications

**Author :**Lester L. Helms

**ISBN :**9780486132075

**Genre :**Mathematics

**File Size :**30. 68 MB

**Format :**PDF, ePub

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Extensive discussions and clear examples, written in plain language, expose students to the rules and methods of probability. Exercises foster problem-solving skills, and all problems feature step-by-step solutions. 1997 edition.

## Theory Of Relativity

**Author :**W. Pauli

**ISBN :**9780486319223

**Genre :**Science

**File Size :**69. 94 MB

**Format :**PDF, ePub

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Nobel Laureate's brilliant early treatise on Einstein's theory consists of his original 1921 text plus retrospective comments 35 years later. Concise and comprehensive, it pays special attention to unified field theories.

## Lady Luck

**Author :**Warren Weaver

**ISBN :**9780486150918

**Genre :**Mathematics

**File Size :**47. 39 MB

**Format :**PDF, Kindle

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This witty, nontechnical introduction to probability elucidates such concepts as permutations, independent events, mathematical expectation, the law of averages and more. No advanced math required. 49 drawings.

## Concepts Of Probability Theory

**Author :**Paul E. Pfeiffer

**ISBN :**9780486165660

**Genre :**Mathematics

**File Size :**28. 98 MB

**Format :**PDF, Docs

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Using the Kolmogorov model, this intermediate-level text discusses random variables, probability distributions, mathematical expectation, random processes, more. For advanced undergraduates students of science, engineering, or math. Includes problems with answers and six appendixes. 1965 edition.

## Basic Probability Theory

**Author :**Robert B. Ash

**ISBN :**9780486466286

**Genre :**Mathematics

**File Size :**27. 92 MB

**Format :**PDF

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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.