UID:
almahu_9948336505102882
Umfang:
XV, 505 p. 42 illus., 32 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2020.
ISBN:
9783030351762
Serie:
Probability Theory and Stochastic Modelling, 96
Inhalt:
This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial mathematics and probability. Both non-life and life aspects are covered. The emphasis is on probability and modeling rather than statistics and practical implementation. Aimed at the graduate level, pointing in part to current research topics, it can potentially replace other textbooks on basic non-life insurance mathematics and advanced risk management methods in non-life insurance. Based on chapters selected according to the particular topics in mind, the book may serve as a source for introductory courses to insurance mathematics for non-specialists, advanced courses for actuarial students, or courses on probabilistic aspects of risk. It will also be useful for practitioners and students/researchers in related areas such as finance and statistics who wish to get an overview of the general area of mathematical modeling and analysis in insurance.
Anmerkung:
Basics -- Experience Rating -- Sums and Aggregate Claims -- Ruin Theory -- Markov Models in Life Insurance -- Financial Mathematics in Life Insurance -- Special Studies in Life Insurance -- Orderings and Comparisons -- Extreme Value Theory -- Dependence and Further Topics in Risk Management -- Stochastic Control in Non-Life Insurance -- Stochastic Control in Life Insurance -- Selected Further Topics.
In:
Springer eBooks
Weitere Ausg.:
Printed edition: ISBN 9783030351755
Weitere Ausg.:
Printed edition: ISBN 9783030351779
Weitere Ausg.:
Printed edition: ISBN 9783030351786
Sprache:
Englisch
DOI:
10.1007/978-3-030-35176-2
URL:
https://doi.org/10.1007/978-3-030-35176-2
