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Statistics and Data Analysis for Financial Engineering

Name: Statistics and Data Analysis for Financial Engineering
Brand: Springer-Verlag New York Inc.
SKU: 15178676
Price: 39592 HUF
Availability: InStock
Author: David Ruppert
ISBN: 9781493951734

with R examples

David Ruppert

David S. Matteson

Language

English

Book Paperback

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

Libristo code: 15178676

265 b

39 592 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

Author David Ruppert, David S. Matteson

Language

English

Binding Book - Paperback

Date of issue 2016

Number of pages 719

EAN 9781493951734

ISBN 1493951734

Libristo code 15178676

Publishers Springer-Verlag New York Inc.

Weight 1226

Dimensions 234 x 155 x 40

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