Non Life Insurance Mathematics

Author: Erwin Straub
Publisher: Springer Science & Business Media
ISBN: 366203364X
Format: PDF
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The book gives a comprehensive overview of modern non-life actuarial science. It starts with a verbal description (i.e. without using mathematical formulae) of the main actuarial problems to be solved in non-life practice. Then in an extensive second chapter all the mathematical tools needed to solve these problems are dealt with - now in mathematical notation. The rest of the book is devoted to the exact formulation of various problems and their possible solutions. Being a good mixture of practical problems and their actuarial solutions, the book addresses above all two types of readers: firstly students (of mathematics, probability and statistics, informatics, economics) having some mathematical knowledge, and secondly insurance practitioners who remember mathematics only from some distance. Prerequisites are basic calculus and probability theory.

Life Insurance Mathematics

Author: Hans U. Gerber
Publisher: Springer Science & Business Media
ISBN: 3662034603
Format: PDF
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From the reviews: "The highly esteemed 1990 first edition of this book now appears in a much expanded second edition. The difference between the first two English editions is entirely due to the addition of numerous exercises. The result is a truly excellent book, balancing ideally between theory and practice. ....As already hinted at above, this book provides the ideal bridge between the classical (deterministic) life insurance theory and the emerging dynamic models based on stochastic processes and the modern theory of finance. The structure of the bridge is very solid, though at the same time pleasant to walk along. I have no doubt that Gerber's book will become the standard text for many years to come. Metrika, 44, 1996, 2

Non Life Insurance Mathematics

Author: Thomas Mikosch
Publisher: Springer Science & Business Media
ISBN: 3540882332
Format: PDF, ePub, Mobi
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"Offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It gives detailed discussions of the fundamental models for claim sizes, claim arrivals, the total claim amount, and their probabilistic properties....The reader gets to know how the underlying probabilistic structures allow one to determine premiums in a portfolio or in an individual policy." --Zentralblatt für Didaktik der Mathematik

Stochastische Modelle in der Lebensversicherung

Author: Michael Koller
Publisher: Springer-Verlag
ISBN: 366210069X
Format: PDF
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Im vorliegenden Buch werden neue Erkenntnisse der Lebensversicherungsmathematik aus dem Gebiet der Markovmodelle und der stochastischen Zinsen behandelt. Besonderes Gewicht wird auf die Anwendbarkeit der Modelle in der Praxis gelegt, so daß die Aussagen direkt angewendet werden können. Die dargestellten Modelle sind in besonderer Weise geeignet, eine schnelle Tarifierung neuer Lebensversicherungsprodukte zu ermöglichen. Gleichzeitig geben diese Modelle einen tieferen Einblick in das Wesen der Lebensversicherungsmathematik. Der besondere Nutzen dieses Buches liegt einerseits in der parallelen Behandlung der Theorie in stetiger und in diskreter Zeit. Zusätzlich wird das für die Behandlung der Theorie nötige Vorwissen im Buch dargestellt. Durch die vielen Beispiele können die entsprechenden Aussagen direkt in die Praxis umgesetzt werden.

Modern Problems in Insurance Mathematics

Author: Dmitrii Silvestrov
Publisher: Springer
ISBN: 3319066536
Format: PDF, Kindle
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This book is a compilation of 21 papers presented at the International Cramér Symposium on Insurance Mathematics (ICSIM) held at Stockholm University in June, 2013. The book comprises selected contributions from several large research communities in modern insurance mathematics and its applications. The main topics represented in the book are modern risk theory and its applications, stochastic modelling of insurance business, new mathematical problems in life and non-life insurance and related topics in applied and financial mathematics. The book is an original and useful source of inspiration and essential reference for a broad spectrum of theoretical and applied researchers, research students and experts from the insurance business. In this way, Modern Problems in Insurance Mathematics will contribute to the development of research and academy–industry co-operation in the area of insurance mathematics and its applications.