Statistics and Data Analysis for Financial Engineering
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 exerc...
Main Author: | Ruppert, David (Author) |
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Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York,
2011.
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Series: | Springer Texts in Statistics,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
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