Editors:
Effective approach between mathematicians and statisticians
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Table of contents (31 papers)
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Front Matter
About this book
The interaction between mathematicians and statisticians reveals to be an effective approach for dealing with actuarial, insurance and financial problems, both in an academic and in an operative perspective. The international conference MAF 2008, held at the University Ca’ Foscari of Venezia (Italy) in 2008, had precisely this purpose, and the collection here published gathers a selection of about the one hundred papers presented at the conference and successively referred and reviewed to this aim. They cover a wide variety of subjects in actuarial, insurance and financial fields, all treated in light of the successful cooperation between the two quantitative approaches.
Keywords
- Statistical Models
- linear optimization
- mathematical methods
- optimization
- quantitative finance
- statistical method
- statistical methods
- statistics
Editors and Affiliations
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Department of Applied Mathematics, University Ca’ Foscari Venice, Venice, Italy
Marco Corazza
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Department of Statistics, University Ca’ Foscari Venice, Venice, Italy
Claudio Pizzi
Bibliographic Information
Book Title: Mathematical and Statistical Methods for Actuarial Sciences and Finance
Editors: Marco Corazza, Claudio Pizzi
DOI: https://doi.org/10.1007/978-88-470-1481-7
Publisher: Springer Milano
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Milan 2010
Hardcover ISBN: 978-88-470-1480-0Published: 19 January 2010
Softcover ISBN: 978-88-470-3906-3Published: 23 August 2016
eBook ISBN: 978-88-470-1481-7Published: 07 June 2011
Edition Number: 1
Number of Pages: XV, 314
Topics: Quantitative Finance, Actuarial Sciences, Business Mathematics, Statistical Theory and Methods, Macroeconomics/Monetary Economics//Financial Economics, Applications of Mathematics