Description |
1 online resource (xv, 432 pages) : illustrations |
Series |
Universitext |
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Universitext.
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Contents |
pt. 1. Collective risk models. The basic model -- Models for the claim number process -- The total claim amount -- Ruin theory -- pt. 2. Experience rating. Bayes estimation -- Linear Bayes estimation -- pt. 3. A point process approach to collective risk theory -- Poisson random measures in collective risk theory -- Weak convergence of point processes -- pt. 4. Special topics. An excursion to Lévy processes -- Cluster point processes |
Summary |
The author provides a mathematical introducton to non-life insurance &, at the same time, to a multitude of applied stochastic processes. He gives detailed discussions of the fundamental models for claim sizes, claim arrivals, the total claim amount, & their probabilistic properties |
Analysis |
Insurance Mathematics |
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Poisson processes |
Notes |
Previous edition: 2004, under title: Non-life insurance mathematics : an introduction with stochastic processes |
Bibliography |
Includes bibliographical references and index |
Notes |
English |
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Print version record |
Subject |
Insurance -- Mathematics.
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Stochastic processes.
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Poisson processes.
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Stochastic Processes
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Insurance -- Mathematics
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Poisson processes
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Stochastic processes
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Stochastisches Modell
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Versicherungsmathematik
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Versicherungstechnik.
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Stochastischer Prozess.
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Theorie.
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Form |
Electronic book
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ISBN |
9783540882336 |
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3540882332 |
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9783540882329 |
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3540882324 |
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