Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
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Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
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Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
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Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: HPB-Red, Dallas, TX, USA
Hardcover. Zustand: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
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Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: Ammareal, Morangis, Frankreich
Hardcover. Zustand: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2016. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2016. Ammareal gives back up to 15% of this item's net price to charity organizations.
Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: Pulpfiction Books, Vancouver, BC, Kanada
Erstausgabe
Hardcover. Zustand: Fine. 1st Edition. First edition, first printing. Fine- lightly bumped hardback issued without dust jacket, clean and unmarked.
Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: GoldBooks, Denver, CO, USA
Hardcover. Zustand: new. New Copy. Customer Service Guaranteed.
Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Cambridge University Press CUP, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: Books Puddle, New York, NY, USA
Zustand: Used. pp. 390.
Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 74,27
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In den WarenkorbZustand: Used. pp. 390.
Sprache: Englisch
Verlag: Cambridge University Press, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: Used. pp. 390.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. Are you innately curious about dynamically inter-operating financial markets? Since the crisis of 2008, there is a need for professionals with more understanding about statistics and data analysis, who can discuss the various risk metrics, particularly those involving extreme events. By providing a resource for training students and professionals in basic and sophisticated analytics, this book meets that need. It offers both the intuition and basic vocabulary as a step towards the financial, statistical, and algorithmic knowledge required to resolve the industry problems, and it depicts a systematic way of developing analytical programs for finance in the statistical language R. Build a hands-on laboratory and run many simulations. Explore the analytical fringes of investments and risk management. Bennett and Hugen help profit-seeking investors and data science students sharpen their skills in many areas, including time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities. This book provides the intuition and basic vocabulary as steps towards the financial, statistical, and algorithmic knowledge needed to resolve current industry problems, while also presenting a systematic way of developing analytical programs for finance in the statistical language R. This book is a key training resource for students and professionals alike. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 130,54
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 390 pages. 10.00x6.75x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2020
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: moluna, Greven, Deutschland
Zustand: New. This book provides the intuition and basic vocabulary as steps towards the financial, statistical, and algorithmic knowledge needed to resolve current industry problems, while also presenting a systematic way of developing analytical programs for finance in.
Sprache: Englisch
Verlag: Cambridge University Press Nov 2016, 2016
ISBN 10: 1107150752 ISBN 13: 9781107150751
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Are you innately curious about dynamically inter-operating financial markets Since the crisis of 2008, there is a need for professionals with more understanding about statistics and data analysis, who can discuss the various risk metrics, particularly those involving extreme events. By providing a resource for training students and professionals in basic and sophisticated analytics, this book meets that need. It offers both the intuition and basic vocabulary as a step towards the financial, statistical, and algorithmic knowledge required to resolve the industry problems, and it depicts a systematic way of developing analytical programs for finance in the statistical language R. Build a hands-on laboratory and run many simulations. Explore the analytical fringes of investments and risk management. Bennett and Hugen help profit-seeking investors and data science students sharpen their skills in many areas, including time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities.