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Statistics and Data Analysis for Financial Engineering with R Examples by David Ruppert and David S. Matteson - Hardcover
1,520.00 EGP

Statistics and Data Analysis for Financial Engineering with R Examples by David Ruppert and David S. Matteson - Hardcover

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1,520.00 EGP 

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Category Type
Mathematics
ISBN
9781493926138
Author
Various
Publisher
Springer
Description:

The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, r labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because ...

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PRODUCT INFORMATION

  •  

    Specifications

    Category Type
    Mathematics
    ISBN
    9781493926138
    Item EAN
    2724444917837
    People
    Author
    Various
    People
    Publisher
    Springer
    Category Type
    Mathematics
    ISBN
    9781493926138
    Item EAN
    2724444917837
    People
    Author
    Various
    People
    Publisher
    Springer
    Technical Information
    Binding
    Hardcover
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, r labs with real-data exercises, and graphical and

    The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, r labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the r code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

    Product Features :
    • Category Type: Mathematics
    • Author: David Ruppert and David S. Matteson
    • ISBN: 9781493926138
    • Binding: Hardcover
    • Book Language: English
    • Publisher: Springer
    • Number of Pages: 745 Pages
    • Dimensions: 23.4 x 15.6 x 3.9 cm
    • Edition: Second Edition
    • Weight: 1.22 kg
    • Publication Year: 2015
    • Country of Origin: United States
 

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