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Statistics And Data Analysis For Financial Engineering Medic
855.00 EGP

Statistics And Data Analysis For Financial Engineering Medic

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855.00 EGP 

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Category Type
Statistics, Research & Compute
ISBN
9781441977861
Author
Ruppert
Publisher
Springer-Verlag
Description:

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling ...

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PRODUCT INFORMATION

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    Specifications

    Category Type
    Statistics, Research & Compute
    ISBN
    9781441977861
    Item EAN
    2724546170956
    People
    Author
    Ruppert
    People
    Publisher
    Springer-Verlag
    Category Type
    Statistics, Research & Compute
    ISBN
    9781441977861
    Item EAN
    2724546170956
    People
    Author
    Ruppert
    People
    Publisher
    Springer-Verlag
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data

    Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration. The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus. Some exposure to finance is helpful.

    • Statistics And Data Analysis For Financial Engineering Medic
    • Author: Ruppert
    • Publisher: Springer-Verlag
    • Published: 2011
 

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