Modern Actuarial Risk Theory: Using R

Rob Kaas

ISBN 10: 3642034071 / ISBN 13: 9783642034077

Published by Springer, 2009

About this Item

Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Seller Inventory # M03642034071-G

Bibliographic Details

• Title: Modern Actuarial Risk Theory: Using R
• Publisher: Springer
• Publication Date: 2009
• Language: English
• ISBN 10: 3642034071
• ISBN 13: 9783642034077
• Binding: Soft cover
• Edition: 2nd Edition
• Condition: good

About this title

Synopsis

This book presents practical paradigms in insurance as well as numerous exercises with solutions. This second edition emphasizes the implementation of all covered techniques through the use of R, the de facto standard for statistical computation.

From the Back Cover

Modern Actuarial Risk Theory contains what every actuary needs to know about non-life insurance mathematics. It starts with the standard material like utility theory, individual and collective model and basic ruin theory. Other topics are risk measures and premium principles, bonus-malus systems, ordering of risks and credibility theory. It also contains some chapters about Generalized Linear Models, applied to rating and IBNR problems. As to the level of the mathematics, the book would fit in a bachelors or masters program in quantitative economics or mathematical statistics.

This second and much expanded edition emphasizes the implementation of these techniques through the use of R. This free but incredibly powerful software is rapidly developing into the de facto standard for statistical computation, not just in academic circles but also in practice. With R, one can do simulations, find maximum likelihood estimators, compute distributions by inverting transforms, and much more.