Nonlife actuarial models : theory, methods and evaluation / Yiu-Kuen Tse.

Format:

Book

Author/Creator:

Tse, Yiu Kuen, 1952- author.

Series:

International series on actuarial science.

International series on actuarial science

Language:

English

Subjects (All):

Actuarial science--Textbooks.

Actuarial science.

Physical Description:

1 online resource (xv, 524 pages) : digital, PDF file(s).

Place of Publication:

Cambridge : Cambridge University Press, 2009.

Summary:

Actuaries must pass exams, but more than that: they must put knowledge into practice. This coherent book gives complete syllabus coverage for Exam C of the Society of Actuaries (SOA) while emphasizing the concepts and practical application of nonlife actuarial models. Ideal for those approaching their professional exams, it is also a class-tested textbook for undergraduate university courses in actuarial science. All the topics that students need to prepare for Exam C are here, including modeling of losses, risk and ruin theory, credibility theory and applications, and empirical implementation of loss models. The book also covers more recent topics, such as risk measures and bootstrapping. Readers are assumed to have studied statistical inference and probability at the introductory undergraduate level. Numerous examples and exercises are provided, with many exercises adapted from past Exam C questions. Computational notes on the use of Excel are included. Teaching slides are available for download.

Contents:

Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; Notation and convention; Part I Loss models; Part II Risk and ruin; Part III Credibility; Part IV Model construction and evaluation; Appendix: Review of statistics; Answers to exercises; References; Index

Notes:

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Includes bibliographical references and index.

ISBN:

1-107-20858-0

0-511-64790-5

1-282-39394-4

9786612393945

0-511-81215-9

0-511-63300-9

0-511-65198-8

0-511-63179-0

0-511-63421-8

OCLC:

609845868