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An elementary introduction to the theory of probability / by B.V. Gnedenko and A. Ya. Khinchin.

By: Gnedenko, Boris Vladimirovich, 1912-.
Contributor(s): Khinchin, Aleksandr I͡Akovlevich, 1894-1959.
Material type: TextTextPublisher: New York, Dover Publications [1962]Edition: Authorized ed. Translated from the 5th Russian edition by Leo F. Boron, with the editorial collaboration of Sidney F. Mack.Bibliography: Includes bibliographical references.Description: 130 p. illus. 22 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780486601557.Uniform titles: Ėlementarnoe vvedenie v teorii͡u︡ veroi͡a︡tnosteĭ. English Subject(s): ProbabilitiesDDC classification: 519.1
Contents:
pt. I. Probabilities. The probability of an event -- Rule for the addition of probabilities -- Conditional probabilities and the multiplication rule -- Consequences of the addition and multiplication rules -- Bernoulli's scheme -- Bernoulli's theorem -- pt. II. Random variables. Random variables and distribution laws -- Mean values -- Mean value of a sum and of a product -- Dispersion and mean deviations -- Law of large numbers -- Normal laws.
Subject: 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.
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Item type Current library Collection Call number Status Date due Barcode
Two Weeks Davenport Library Circulating Collection Print-Circulating 519.1 G532 (Browse shelf(Opens below)) Available 34284001103753

Includes bibliographical references.

pt. I. Probabilities. The probability of an event -- Rule for the addition of probabilities -- Conditional probabilities and the multiplication rule -- Consequences of the addition and multiplication rules -- Bernoulli's scheme -- Bernoulli's theorem -- pt. II. Random variables. Random variables and distribution laws -- Mean values -- Mean value of a sum and of a product -- Dispersion and mean deviations -- Law of large numbers -- Normal laws.

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.

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