Insurance Risk and Ruin (International Series on Actuarial Science)
Editorial Reviews
Review
'... requires some mathematical maturity but provides a good insight into how probability distributions tie in with insurance applications.' Journal of Applied Statistics
'... a nice introduction to some basic aspects of risk theory, with special emphasis on utility theory, recursive methods and ruin theory ... What I appreciate most is the way in which the author explains the different topics dealt with in this book.' Publication of the International Statistical Institute
'This book is well written. It is also well organized. ... For practitioners, it may be of interesting reference, and a way to have a good overview of some recent developments in ruin theory.' ASTIN Bulletin
Book Description
Based on the author's experience of teaching final-year actuarial students in Britain and Australia, and suitable for a first course in insurance risk theory, this book focuses on the two major areas of risk theory - aggregate claims distributions and ruin theory. For aggregate claims distributions, detailed descriptions are given of recursive techniques that can be used in the individual and collective risk models. For the collective model, different classes of counting distribution are discussed, and recursion schemes for probability functions and moments presented. For the individual model, the three most commonly applied techniques are discussed and illustrated. Care has been taken to make the book accessible to readers who have a solid understanding of the basic tools of probability theory. Numerous worked examples are included in the text and each chapter concludes with exercises, which have answers in the book and full solutions available for instructors from www.cambridge.org.
Insurance Risk and Ruin (International Series on Actuarial Science),David C. M. Dickson,John McCutcheon,Mark Davis,John Hylands,Ragnar Norberg,H. Panjer,Andrew Wilson,Cambridge University Press,0521846404,Applied,Business & Economics,Business / Economics / Finance,Business/Economics,Insurance,Insurance - General,Mathematical models,Mathematics,Risk (Insurance),Mathematics / Applied
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