Syndetics cover image
Image from Syndetics

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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)

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.

There are no comments on this title.

to post a comment.

Powered by Koha