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Beschreibung
This is an introductory probability textbook, published by the American Mathematical Society. It is designed for an introductory probability course taken by mathematics, the physical and social sciences, engineering, and computer science students. The text can be used in a variety of course lengths, levels, and areas of emphasis. For use in a standard one-term course, in which both discrete and continuous probability is covered, students should have taken as a prerequisite two terms of calculus, including an introduction to multiple integrals. In order to cover Chapter 11, which contains material on Markov chains, some knowledge of matrix theory is necessary. The text can also be used in a discrete probability course. For use in a discrete probability course, students should have taken one term of calculus as a prerequisite. All of the computer programs that are used in the text have been written in each of the languages TrueBASIC, Maple, and Mathematica.
This is an introductory probability textbook, published by the American Mathematical Society. It is designed for an introductory probability course taken by mathematics, the physical and social sciences, engineering, and computer science students. The text can be used in a variety of course lengths, levels, and areas of emphasis. For use in a standard one-term course, in which both discrete and continuous probability is covered, students should have taken as a prerequisite two terms of calculus, including an introduction to multiple integrals. In order to cover Chapter 11, which contains material on Markov chains, some knowledge of matrix theory is necessary. The text can also be used in a discrete probability course. For use in a discrete probability course, students should have taken one term of calculus as a prerequisite. All of the computer programs that are used in the text have been written in each of the languages TrueBASIC, Maple, and Mathematica.
Inhaltsverzeichnis
  • 1) Discrete Probability Distributions.
  • 2) Continuous Probability Densities.
  • 3) Combinatorics.
  • 4) Conditional Probability.
  • 5) Distributions and Densities.
  • 6) Expected Value and Variance.
  • 7) Sums of Random Variables.
  • 8) Law of Large Numbers.
  • 9) Central Limit Theorem.
  • 10) Generating Functions.
  • 11) Markov Chains.
  • 12) Random Walks.
Details
Erscheinungsjahr: 2009
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781616100469
ISBN-10: 161610046X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Grinstead, Charles M.
Snell, J. Laurie
Hersteller: Orange Grove Text Plus
Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 280 x 216 x 28 mm
Von/Mit: Charles M. Grinstead (u. a.)
Erscheinungsdatum: 24.09.2009
Gewicht: 1,293 kg
Artikel-ID: 131727953

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