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Statistics and Data Analysis for Financial Engineering

with R examples

Language EnglishEnglish
Book Paperback
Book Statistics and Data Analysis for Financial Engineering David Ruppert
Libristo code: 15178676
Publishers Springer-Verlag New York Inc., October 2016
The new edition of this influential textbook, geared towards graduate or advanced undergraduate stud... Full description
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38 898 Ft
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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.

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About the book

Full name Statistics and Data Analysis for Financial Engineering
Language English
Binding Book - Paperback
Date of issue 2016
Number of pages 719
EAN 9781493951734
ISBN 1493951734
Libristo code 15178676
Weight 1226
Dimensions 234 x 155 x 40
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