2013•Journal of Liaoning Technical UniversityRequires access

Improvement with compound Poisson-Geometric process risk model

Jie Li

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Abstract

The Poisson process in a classical risk model has some limitations,i.e.,the mean must be equal to its variance.This paper extends the Poisson process into a compound Poisson-Geometric process.The times of premium collection are regarded as a Poisson process,and the premium collected is considered as a random variable following exponential distribution.Therefore,the study extends a classical risk model.This paper will explain the significance of the improvement.With the calculation,the expressions of adjustment coefficient and ruin probability are obtained.Furthermore,the Lundeberg inequality for this risk model is derived.

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What this paper is about

The Poisson process in a classical risk model has some limitations,i.e.,the mean must be equal to its variance.This paper extends the Poisson process into a compound Poisson-Geometric process.The times of premium collection are regarded as a Poisson process,and the premium collected is considered as a random variable following exponential distribution.Therefore,the study extends a classical risk model.This paper will explain the significance of the improvement.With the calculation,the expressions of adjustment coefficient and ruin probability are obtained.Furthermore,the Lundeberg inequality for this risk model is derived.

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Available abstract

The Poisson process in a classical risk model has some limitations,i.e.,the mean must be equal to its variance.This paper extends the Poisson process into a compound Poisson-Geometric process.The times of premium collection are regarded as a Poisson process,and the premium collected is considered as a random variable following exponential distribution.Therefore,the study extends a classical risk model.This paper will explain the significance of the improvement.With the calculation,the expressions of adjustment coefficient and ruin probability are obtained.Furthermore,the Lundeberg inequality for this risk model is derived.

Key concepts: Compound Poisson process, Poisson distribution, Zero-inflated model, Compound Poisson distribution, Mathematics, Exponential distribution, Exponential function, Poisson binomial distribution

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