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    Book
    Book
    Cambridge ; New York, NY ; Port Melbourne ; Delhi ; Singapore : Cambridge University Press
    UID:
    b3kat_BV045299666
    Format: x, 535 Seiten , Diagramme
    ISBN: 9781108418744 , 1108418740 , 9781108407847 , 1108407846
    Content: Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right . This engaging textbook with its easy-to-follow writing style provides a comprehensive, yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard text - such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds
    Note: Foundations of probability theory -- Conditional probability -- Discrete random variables -- Continuous random variables -- Jointly distributed random variables -- Multivariate normal distribution -- Conditioning by random variables -- Generating functions -- Additional topics in probability -- Discrete-time Markov chains -- Continuous-time Markov chains
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-108-31413-8
    Language: English
    Subjects: Mathematics
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    Keywords: Wahrscheinlichkeitsrechnung ; Einführung
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