Modern Actuarial Risk Theory : Using R

Rob Kaas

ISBN 10: 3642034071 / ISBN 13: 9783642034077

Published by Springer Berlin Heidelberg, Springer Gabler, 2009

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783642034077

Bibliographic Details

• Title: Modern Actuarial Risk Theory : Using R
• Publisher: Springer Berlin Heidelberg, Springer Gabler
• Publication Date: 2009
• Language: English
• ISBN 10: 3642034071
• ISBN 13: 9783642034077
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 235W x 155H x 22D millimeters 235 millimeters width by 155 millimeters height by 22 millimeters depth
• Weight: 604 grams

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.