Non-Life Insurance Mathematics An Introduction with the Poisson Process

The volume offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It includes detailed discussions of the fundamental models regarding claim sizes, claim arrivals, the total claim amount, and their probabilistic properties. Thr...

Full description

Bibliographic Details
Main Author: Mikosch, Thomas
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2009, 2009
Edition:2nd ed. 2009
Series:Universitext
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02780nmm a2200277 u 4500
001 EB000381201
003 EBX01000000000000000234253
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130626 ||| eng
020 |a 9783540882336 
100 1 |a Mikosch, Thomas 
245 0 0 |a Non-Life Insurance Mathematics  |h Elektronische Ressource  |b An Introduction with the Poisson Process  |c by Thomas Mikosch 
250 |a 2nd ed. 2009 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2009, 2009 
300 |a XV, 432 p. 55 illus  |b online resource 
505 0 |a Collective Risk Models -- The Basic Model -- Models for the Claim Number Process -- The Total Claim Amount -- Ruin Theory -- Experience Rating -- Bayes Estimation -- Linear Bayes Estimation -- A Point Process Approach to Collective Risk Theory -- The General Poisson Process -- Poisson Random Measures in Collective Risk Theory -- Weak Convergence of Point Processes -- Special Topics -- An Excursion to L#x00E9;vy Processes -- Cluster Point Processes 
653 |a Mathematics in Business, Economics and Finance 
653 |a Social sciences / Mathematics 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Universitext 
028 5 0 |a 10.1007/978-3-540-88233-6 
856 4 0 |u https://doi.org/10.1007/978-3-540-88233-6?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 519 
520 |a The volume offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It includes detailed discussions of the fundamental models regarding claim sizes, claim arrivals, the total claim amount, and their probabilistic properties. Throughout the volume the language of stochastic processes is used for describing the dynamics of an insurance portfolio in claim size, space and time. Special emphasis is given to the phenomena which are caused by large claims in these models. The reader learns how the underlying probabilistic structures allow determining premiums in a portfolio or in an individual policy. The second edition contains various new chapters that illustrate the use of point process techniques in non-life insurance mathematics. Poisson processes play a central role. Detailed discussions show how Poisson processes can be used to describe complex aspects in an insurance business such as delays in reporting, the settlement of claims and claims reserving. Also the chain ladder method is explained in detail. More than 150 figures and tables illustrate and visualize the theory. Every section ends with numerous exercises. An extensive bibliography, annotated with various comments sections with references to more advanced relevant literature, makes the volume broadly and easily accessible