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＜電子ブック＞
Recursions for Convolutions and Compound Distributions with Insurance Applications / by Bjoern Sundt, Raluca Vernic
(EAA Series. ISSN:18696937)

版	1st ed. 2009.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2009
本文言語	英語
大きさ	XV, 345 p. 3 illus : online resource
著者標目	*Sundt, Bjoern author Vernic, Raluca author SpringerLink (Online service)
件　名	LCSH:Social sciences -- Mathematics  全ての件名で検索 LCSH:Finance FREE:Mathematics in Business, Economics and Finance FREE:Financial Economics
一般注記	I Univariate distributions -- Counting Distributions with Recursion of Order One -- Compound Mixed Poisson Distributions -- Infinite Divisibility -- Counting Distributions with Recursion of Higher Order -- De Pril Transforms of Distributions in -- Individual Models -- Cumulative Functions and Tails -- Moments -- Approximations Based on De Pril Transforms -- Extension to Distributions in ? -- Allowing for Negative Severities -- Underflow and Overflow -- II Multivariate distributions -- Multivariate Compound Distributions of Type 1 -- De Pril Transforms -- Moments -- Approximations Based on De Pril Transforms -- Multivariate Compound Distributions of Type 2 -- Compound Mixed Multivariate Poisson Distributions Since 1980, methods for recursive evaluation of aggregate claims distributions have received extensive attention in the actuarial literature. This book gives a unified survey of the theory and is intended to be self-contained to a large extent. As the methodology is applicable also outside the actuarial field, it is presented in a general setting, but actuarial applications are used for motivation. The book is divided into two parts. Part I is devoted to univariate distributions, whereas in Part II, the methodology is extended to multivariate settings. Primarily intended as a monograph, this book can also be used as text for courses on the graduate level. Suggested outlines for such courses are given. The book is of interest for actuaries and statisticians working within the insurance and finance industry, as well as for people in other fields like operations research and reliability theory HTTP:URL=https://doi.org/10.1007/978-3-540-92900-0

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