Read Point Processes with a Generalized Order Statistic Property

Point Processes with a Generalized Order Statistic Property

Birgit Debrabant

4.9/5 (24937 ratings)

Description:Mixed Poisson processes are a well known class of point processes derived from (stationary) Poisson processes. In particular they cover cases where the intensity of a Poisson process is unknown but can be assumed to follow a known probability distribution. This situation is common e. g. in insurance mathematics where for instance the number of accident claims in which an individual is involved and which is evolving over some time can in principal be well described by a Poisson process with an individual, yet normally unknown intensity corresponding to the individual's accident proneness. Modelling this intensity as a random variable naturally leads to a mixed model. Usually, an insurance company will have a good estimate of the associated mixing distribution due to its large portfolio of policies.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Point Processes with a Generalized Order Statistic Property. To get started finding Point Processes with a Generalized Order Statistic Property, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 153

Format: PDF, EPUB & Kindle Edition

Publisher: Logos Verlag Berlin

Release: 2008

ISBN: 3832519599

Description: Mixed Poisson processes are a well known class of point processes derived from (stationary) Poisson processes. In particular they cover cases where the intensity of a Poisson process is unknown but can be assumed to follow a known probability distribution. This situation is common e. g. in insurance mathematics where for instance the number of accident claims in which an individual is involved and which is evolving over some time can in principal be well described by a Poisson process with an individual, yet normally unknown intensity corresponding to the individual's accident proneness. Modelling this intensity as a random variable naturally leads to a mixed model. Usually, an insurance company will have a good estimate of the associated mixing distribution due to its large portfolio of policies.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Point Processes with a Generalized Order Statistic Property. To get started finding Point Processes with a Generalized Order Statistic Property, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Point Processes with a Generalized Order Statistic Property

Point Processes with a Generalized Order Statistic Property

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