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...
Κύριος συγγραφέας: | Ruppert, David (Συγγραφέας) |
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Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
2011.
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Σειρά: | Springer Texts in Statistics,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
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Statistics and Data Analysis for Financial Engineering with R examples /
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Statistics of Financial Markets An Introduction /
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Statistics of Financial Markets An Introduction /
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Statistical Inference for Financial Engineering
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