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Statistics and Data Analysis for Financial Engineering

von David Ruppert und David S. Matteson
Softcover - 9781493951734
106,99 €
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Hardcover - 9781493926138
139,09 €

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Weitere Formate

Hardcover - 9781493926138
139,09 €

Beschreibung

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.

with R examples

with R examples

Details

Verlag Springer US
Ersterscheinung 05. Oktober 2016
Maße 23.5 cm x 15.5 cm
Gewicht 1248 Gramm
Format Softcover
ISBN-13 9781493951734
Auflage Softcover reprint of the original 2nd ed. 2015
Seiten 719

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