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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9948609656802882
    Format: 1 online resource (x, 535 pages) : , digital, PDF file(s).
    ISBN: 9781108291361 (ebook)
    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: Title from publisher's bibliographic system (viewed on 25 Sep 2018). , 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: Print version: ISBN 9781108418744
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    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
    RVK:
    RVK:
    RVK:
    Keywords: Wahrscheinlichkeitsrechnung ; Einführung
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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