1 / 221
文档名称:

Mathematics - Mathematical and Statistical Methods in Insurance and Finance - Springer 2008.pdf

格式:pdf   页数:221
下载后只包含 1 个 PDF 格式的文档,没有任何的图纸或源代码,查看文件列表

如果您已付费下载过本站文档,您可以点这里二次下载

Mathematics - Mathematical and Statistical Methods in Insurance and Finance - Springer 2008.pdf

上传人:kuo08091 2014/9/4 文件大小:0 KB

下载得到文件列表

Mathematics - Mathematical and Statistical Methods in Insurance and Finance - Springer 2008.pdf

文档介绍

文档介绍:Cira Perna (Editor)
Marilena Sibillo (Editor)
Mathematical and
Statistical Methods
in Insurance and Finance
Cira Perna
Dipartimento di Scienze Economiche e Statistiche
Universita ` di Salerno, Italy
Marilena Sibillo
Dipartimento di Scienze Economiche e Statistiche
Universita ` di Salerno, Italy
Library of Congress Control Number: 2007933329
ISBN-13 978-88-470-0703-1 Springer Milan Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material
is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broad-
casting, reproduction on microfilms or in other ways, and storage in data banks. Duplication of this
publication or parts thereof is permitted only under the provisions of the Italian Copyright Law in its
current version, and permission for use must always ba obtained from Springer. Violations are liable
to prosecution under the Italian Copyright Law.
Springer is a part of Springer Science+Business Media
© Springer-Verlag Italia, Milano 2008
Printed in Italy
Cover-Design: Simona Colombo, Milan
Typesetting with LATEX: PTP-Berlin, Protago TEX-Production GmbH, Germany (.eu)
Printing and Binding: Grafiche Porpora, Segrate (MI)
Preface
The MAF2006 Conference, organized at the University of Salerno, represents the
prosecution of the first edition, held in 2004 also at the Campus of Fisciano, and
was developed on the basis of cooperation between mathematicians and statisticians
working in insurance and finance fields.
The idea arises from the belief that the interdisciplinary approach can improve
research on these topics, and the proof of this is that interest in this guideline has
evolved and been re-enforced.
The Conference aims at providing state of the art research in development, im-
plementation and real word applications of statistical and mathematical models in
actuarial and finance sciences, as well as for discussion of pr