The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.
Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. Building on recent and rapid developments in applied probability the authors describe in general terms models based on Markov processes, martingales and various types of point processes.
Discussing frequently asked insurance questions, the authors present a coherent overview of this subject and specifically address:
Assuming competence in probability calculus, this book will provide a rigorous treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial sciences.
"An excellent text."
--Australian & New Zealand Journal of Statistics
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Tomasz Rolski, Mathematical Institute, University of Wroclaw, Poland.
Hanspeter Schmidli, Department of Theoretical Statistics, Aarhus University, Denmark.
Volker Schmidt, Faculty of Mathematics and Economics, University of Ulm, Germany.
Jozef Teugels, Department of Mathematics, Catholic University of Leuven, Belgium.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. Building on recent and rapid developments in applied probability the authors describe in general terms models based on Markov processes, martingales and various types of point processes. Discussing frequently asked insurance questions, the authors present a coherent overview of this subject and specifically address: the principle concepts of insurance and financepractical examples with real life datanumerical and algorithmic procedures essential for modern insurance practices Assuming competence in probability calculus, this book will provide a rigorous treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial sciences. "An excellent text."Australian & New Zealand Journal of Statistics This text provides a source for professionals in the insurance industry who have a modest level of mathematical experience. It outlines classical results and provides an insight into recent developments in applied probability theory illustrating relevant applications in insurance mathematics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780471959250
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Hardback. Etat : New. 1st. The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. Building on recent and rapid developments in applied probability the authors describe in general terms models based on Markov processes, martingales and various types of point processes. Discussing frequently asked insurance questions, the authors present a coherent overview of this subject and specifically address: the principle concepts of insurance and financepractical examples with real life datanumerical and algorithmic procedures essential for modern insurance practices Assuming competence in probability calculus, this book will provide a rigorous treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial sciences. "An excellent text."-Australian and New Zealand Journal of Statistics. N° de réf. du vendeur LU-9780471959250
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Hardcover. Etat : new. Hardcover. The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. Building on recent and rapid developments in applied probability the authors describe in general terms models based on Markov processes, martingales and various types of point processes. Discussing frequently asked insurance questions, the authors present a coherent overview of this subject and specifically address: the principle concepts of insurance and financepractical examples with real life datanumerical and algorithmic procedures essential for modern insurance practices Assuming competence in probability calculus, this book will provide a rigorous treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial sciences. "An excellent text."Australian & New Zealand Journal of Statistics This text provides a source for professionals in the insurance industry who have a modest level of mathematical experience. It outlines classical results and provides an insight into recent developments in applied probability theory illustrating relevant applications in insurance mathematics. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780471959250
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