Non-Life Insurance Mathematics: An Introduction with the Poisson Process (Universitext)

Mikosch, Thomas

ISBN 10: 3540882324 ISBN 13: 9783540882329

Verlag: Springer, 2009

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Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollst�ndigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Bestandsnummer des Verk�ufers M03540882324-G

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This book offers a mathematical introduction to non-life insurance as well as to a multitude of applied stochastic processes. It gives detailed discussions of the fundamental models for claim sizes, the total claim amount and their probabilistic properties.

�ber die Autorin bzw. den Autor:

Thomas Mikosch has been professor at the Laboratory of Actuarial Mathematics of the University of Copenhagen since January 2001. Before this, he held positions in Dresden (Germany), Wellington (New Zealand) and Groningen (Netherlands). His special interests are applied probability theory and stochastic processes. Over the last few years his research has focused on extremal events in finance, insurance and telecommunications. His earlier very successful book, written jointly with Paul Embrechts and Claudia Kl�ppelberg, Modelling Extremal Events for Finance and Insurance (1997), is also published by Springer.

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Titel: Non-Life Insurance Mathematics: An ...
Verlag: Springer
Erscheinungsdatum: 2009
Einband: Softcover
Zustand: good
Auflage: 2. Auflage

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Non-Life Insurance Mathematics | An Introduction with the Poisson Process

Thomas Mikosch

Verlag: Springer-Verlag GmbH, 2009

ISBN 10: 3540882324 ISBN 13: 9783540882329

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Non-Life Insurance Mathematics

Thomas Mikosch

Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg M�r 2009, 2009

ISBN 10: 3540882324 ISBN 13: 9783540882329

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Taschenbuch. Zustand: Neu. Neuware -The second edition of this book contains both basic and more advanced - terial on non-life insurance mathematics. Parts I and II of the book cover the basic course of the 1rst edition; this text has changed very little. It aims at the undergraduate (bachelor) actuarial student as a 1rst introduction to the topics of non-life insurance mathematics. Parts III and IV are new. They can serve as an independent course on stochastic models of non-life insurance mathematics at the graduate (master) level. The basic themes in all parts of this book are point process theory, the Poisson and compound Poisson processes. Point processes constitute an - portant part of modern stochastic process theory. They are well understood models and have applications in a wide range of applied probability areas such as stochastic geometry, extreme value theory, queuing and large computer networks, insurance and finance. The main idea behind a point process is counting. Counting is bread and butter in non-life insurance: the modeling of claim numbers is one of the - jor tasks of the actuary. Part I of this book extensively deals with counting processes on the real line, such as the Poisson, renewal and mixed Poisson processes. These processes can be studied in the point process framework as well, but such an approach requires more advanced theoretical tools.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch. Artikel-Nr. 9783540882329

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Non-Life Insurance Mathematics : An Introduction with the Poisson Process

Thomas Mikosch

Verlag: Springer Berlin Heidelberg, 2009

ISBN 10: 3540882324 ISBN 13: 9783540882329

Neu Taschenbuch

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The second edition of this book contains both basic and more advanced - terial on non-life insurance mathematics. Parts I and II of the book cover the basic course of the 1rst edition; this text has changed very little. It aims at the undergraduate (bachelor) actuarial student as a 1rst introduction to the topics of non-life insurance mathematics. Parts III and IV are new. They can serve as an independent course on stochastic models of non-life insurance mathematics at the graduate (master) level. The basic themes in all parts of this book are point process theory, the Poisson and compound Poisson processes. Point processes constitute an - portant part of modern stochastic process theory. They are well understood models and have applications in a wide range of applied probability areas such as stochastic geometry, extreme value theory, queuing and large computer networks, insurance and finance. The main idea behind a point process is counting. Counting is bread and butter in non-life insurance: the modeling of claim numbers is one of the - jor tasks of the actuary. Part I of this book extensively deals with counting processes on the real line, such as the Poisson, renewal and mixed Poisson processes. These processes can be studied in the point process framework as well, but such an approach requires more advanced theoretical tools. Artikel-Nr. 9783540882329

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