Statistical Models Methods Financial by Lai Tze (32 results)
Language: English
Published by Springer, 2008
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Published by Springer, 2008
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Published by Springer 2010-11, 2010
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Published by Springer, 2010
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Published by Springer, 2008
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Published by Springer, 2008
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Published by Springer, 2008
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Published by Springer, 2010
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Language: English
Published by Springer, 2010
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paperback. Condition: Gut. 376 Seiten; 9781441926685.3 Gewicht in Gramm: 1.
Language: English
Published by Springer, 2008
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Published by Springer, 2010
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Taschenbuch. Condition: Neu. Statistical Models and Methods for Financial Markets | Tze Leung Lai (u. a.) | Taschenbuch | Springer Texts in Statistics | xx | Englisch | 2010 | Springer | EAN 9781441926685 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]sprin…ger[dot]com | Anbieter: preigu.
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Published by Springer, 2008
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Published by Springer, 2008
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Published by CRC Pr I Llc, 2013
Series: Book 66 of 71 - Chapman and Hall/CRC Financial Mathematics
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Published by Springer, 2010
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Published by Springer, 2008
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Published by Springer
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Language: English
Published by Springer, 2010
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Language: English
Published by Springer, Humana Nov 2010, 2010
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The idea of writing this bookarosein 2000when the rst author wasassigned to teach the required course STATS 240 (Statistical Methods in Finance) in the new M. S. program in nancial mathematics at Stanford, which is an interdisciplin…ary program that aims to provide a master's-level education in applied mathematics, statistics, computing, nance, and economics. Students in the programhad di erent backgroundsin statistics. Some had only taken a basic course in statistical inference, while others had taken a broad spectrum of M. S. - and Ph. D. -level statistics courses. On the other hand, all of them had already taken required core courses in investment theory and derivative pricing, and STATS 240 was supposed to link the theory and pricing formulas to real-world data and pricing or investment strategies. Besides students in theprogram,thecoursealso attractedmanystudentsfromother departments in the university, further increasing the heterogeneity of students, as many of them had a strong background in mathematical and statistical modeling from the mathematical, physical, and engineering sciences but no previous experience in nance. To address the diversity in background but common strong interest in the subject and in a potential career as a 'quant' in the nancialindustry,thecoursematerialwascarefullychosennotonlytopresent basic statistical methods of importance to quantitative nance but also to summarize domain knowledge in nance and show how it can be combined with statistical modeling in nancial analysis and decision making. The course material evolved over the years, especially after the second author helped as the head TA during the years 2004 and 2005. 376 pp. Englisch.
Language: English
Published by Springer-Verlag New York Inc., 2010
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Language: English
Published by Springer New York, 2010
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Statistical methods and models are of importance to quantitative financeExhibits links between finance theory, market practice and statistical modeling and decision makingUses concrete examples and data from financial… markets to illustrate .
Language: English
Published by Springer, 2010
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Condition: New. Print on Demand pp. 376 74 Illus. (4 Col.).
Language: English
Published by Springer, 2010
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Condition: New. PRINT ON DEMAND pp. 376.
Language: English
Published by Springer New York Jul 2008, 2008
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The idea of writing this bookarosein 2000when the rst author wasassigned to teach the required course STATS 240 (Statistical Methods in Finance) in the new M. S. program in nancial mathematics at Stanford, which is an interdisciplinary pro…gram that aims to provide a master's-level education in applied mathematics, statistics, computing, nance, and economics. Students in the programhad di erent backgroundsin statistics. Some had only taken a basic course in statistical inference, while others had taken a broad spectrum of M. S. - and Ph. D. -level statistics courses. On the other hand, all of them had already taken required core courses in investment theory and derivative pricing, and STATS 240 was supposed to link the theory and pricing formulas to real-world data and pricing or investment strategies. Besides students in theprogram,thecoursealso attractedmanystudentsfromother departments in the university, further increasing the heterogeneity of students, as many of them had a strong background in mathematical and statistical modeling from the mathematical, physical, and engineering sciences but no previous experience in nance. To address the diversity in background but common strong interest in the subject and in a potential career as a 'quant' in the nancialindustry,thecoursematerialwascarefullychosennotonlytopresent basic statistical methods of importance to quantitative nance but also to summarize domain knowledge in nance and show how it can be combined with statistical modeling in nancial analysis and decision making. The course material evolved over the years, especially after the second author helped as the head TA during the years 2004 and 2005. 356 pp. Englisch.
Language: English
Published by Springer, Humana Nov 2010, 2010
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The idea of writing this bookarosein 2000when the rst author wasassigned to teach the required course STATS 240 (Statistical Methods in Finance) in the new M. S. program in nancial mathematics at Stanford, which is an interdisciplinary…program that aims to provide a master¿s-level education in applied mathematics, statistics, computing, nance, and economics. Students in the programhad di erent backgroundsin statistics. Some had only taken a basic course in statistical inference, while others had taken a broad spectrum of M. S. - and Ph. D. -level statistics courses. On the other hand, all of them had already taken required core courses in investment theory and derivative pricing, and STATS 240 was supposed to link the theory and pricing formulas to real-world data and pricing or investment strategies. Besides students in theprogram,thecoursealso attractedmanystudentsfromother departments in the university, further increasing the heterogeneity of students, as many of them had a strong background in mathematical and statistical modeling from the mathematical, physical, and engineering sciences but no previous experience in nance. To address the diversity in background but common strong interest in the subject and in a potential career as a ¿quant¿ in the nancialindustry,thecoursematerialwascarefullychosennotonlytopresent basic statistical methods of importance to quantitative nance but also to summarize domain knowledge in nance and show how it can be combined with statistical modeling in nancial analysis and decision making. The course material evolved over the years, especially after the second author helped as the head TA during the years 2004 and 2005.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 376 pp. Englisch.
Language: English
Published by Springer-Verlag New York Inc., 2008
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