- Tapa dura: 570 páginas
- Editor: Chapman and Hall/CRC; Edición: 1 (1 de diciembre de 1993)
- Colección: Chapman & Hall/CRC Monographs on Statistics & Applied Probability
- Idioma: Inglés
- ISBN-10: 0412428504
- ISBN-13: 978-0412428500
- Valoración media de los clientes: Sé el primero en opinar sobre este producto
- Clasificación en los más vendidos de Amazon: nº1.255.250 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
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Practical Risk Theory for Actuaries (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) (Inglés) Tapa dura – 1 dic 1993
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Descripción del producto
This book continues the tradition of cooperation between British and Finnish actuaries and scholars which led to several editions of Risk Theory by Beard et al. The title of the book and of the first part emphasize the practical aspects of risk theory. This goal is to a large extent reached by focusing on problems which occur in practice and by devoting time and efforts in explaining the more theoretical methods which are applied...as a handbook it seems to cover an unusually large number of interesting fields. The general impression of the book is very favorable: it introduces important concepts in a pedagogical manner, it presents a wide spectrum of ideas with modern references fro further study, and it is typographically attractive.
Reseña del editor
This classic textbook covers all aspects of risk theory in a practical way. It builds on from the late R.E. Beard's extremely popular book Risk Theory, but features more emphasis on simulation and modeling and on the use of risk theory as a practical tool. Practical Risk Theory is a textbook for practicing and student actuaries on the practical aspects of stochastic modeling of the insurance business. It has its roots in the classical theory of risk but introduces many new elements that are important in managing the insurance business but are usually ignored in the classical theory. The authors avoid overcomplicated mathematics and provide an abundance of diagrams.
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Although there are some practice problems included in this text (with answers at the back of the book), this book is probably too advanced for most student actuaries. However, for more advanced students and practicing actuaries, this book is ideal. The material in this book is well explained and unlike much of what is taught to actuarial students, it is also very relevant. I am currently writing a PhD on stochastic solvency testing in Life Insurance and I have found this book to be of great use. Speaking from experience, this is the best reference on the stochastic modelling of insurance business that is currently available.