Hanspeter Schmidli - Böcker
Visar alla böcker från författaren Hanspeter Schmidli. Handla med fri frakt och snabb leverans.
4 produkter
4 produkter
997 kr
Skickas inom 7-10 vardagar
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 practicesAssuming 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
Del 974 - Wiley Series in Probability and Statistics
Stochastic Processes for Insurance and Finance
Inbunden, Engelska, 1999
2 571 kr
Skickas inom 7-10 vardagar
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 practicesAssuming 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
991 kr
Skickas inom 7-10 vardagar
Stochastic control is one of the methods being used to find optimal decision-making strategies in fields such as operations research and mathematical finance. This book provides a systematic treatment of optimal control methods applied to problems from insurance and investment, complete with detailed proofs. The theory is discussed and illustrated by way of examples, using concrete simple optimisation problems that occur in the actuarial sciences. The problems come from non-life insurance as well as life and pension insurance and also cover the famous Merton problem from mathematical finance.The book is directed towards graduate students and researchers in actuarial science and mathematical finance who want to learn stochastic control within an insurance setting, but it will also appeal to applied probabilists interested in the insurance applications and to practitioners who want to learn more about how the method works.
485 kr
Skickas inom 10-15 vardagar
This book provides an overview of classical actuarial techniques, including material that is not readily accessible elsewhere such as the Ammeter risk model and the Markov-modulated risk model. Other topics covered include utility theory, credibility theory, claims reserving and ruin theory. The author treats both theoretical and practical aspects and also discusses links to Solvency II. Written by one of the leading experts in the field, these lecture notes serve as a valuable introduction to some of the most frequently used methods in non-life insurance. They will be of particular interest to graduate students, researchers and practitioners in insurance, finance and risk management.