Reinsurance: Actuarial and Statistical Aspects - Rilegato

Albrecher, Hansjorg; Beirlant, Jan; Teugels, Jozef L.

Rilegato

ISBN 10: 0470772689 ISBN 13: 9780470772683

Casa editrice: John Wiley & Sons Inc, 2017

Riassunto

Reinsurance: Actuarial and Statistical Aspects provides a survey of both the academic literature in the field as well as challenges appearing in reinsurance practice and puts the two in perspective. The book is written for researchers with an interest in reinsurance problems, for graduate students with a basic knowledge of probability and statistics as well as for reinsurance practitioners. The focus of the book is on modelling together with the statistical challenges that go along with it. The discussed statistical approaches are illustrated alongside six case studies of insurance loss data sets, ranging from MTPL over fire to storm and flood loss data. Some of the presented material also contains new results that have not yet been published in the research literature. An extensive bibliography provides readers with links for further study.

Su questo libro

L'autore:

Hansjörg Albrecher, PhD, is a professor in the Department of Actuarial Science at the University of Lausanne.

Jan Beirlant, PhD, is a professor in the Department of Mathematics at the Katholieke Universiteit Leuven, Belgium and at the University of the Free State, South Africa.

Jozef L. Teugels, PhD, is a professor in the Department of Mathematics at the Katholieke Universiteit Leuven, Belgium.

Dalla quarta di copertina:

Presents a comprehensive treatment of the increasingly topical field of reinsurance

Reinsurance: Actuarial and Statistical Aspects provides a survey of both the academic literature in the field as well as challenges appearing in reinsurance practice and puts the two in perspective. The book is written for researchers with an interest in reinsurance problems, for graduate students with a basic knowledge of probability and statistics as well as for reinsurance practitioners. The focus of the book is on modelling together with the statistical challenges that go along with it. The discussed statistical approaches are illustrated alongside six case studies of insurance loss data sets, ranging from MTPL over fire to storm and flood loss data. Some of the presented material also contains new results that have not yet been published in the research literature. An extensive bibliography provides readers with links for further study.

Su questa edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2017
• ISBN 10: 0470772689
• ISBN 13: 9780470772683
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 352