On the exact survival probability by setting discrete random variables in E. Sparre Andersen's model

Fuente: arXiv
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Main Author: Grigutis, Andrius
Format: Preprint
Published: 2023
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author Grigutis, Andrius
author_facet Grigutis, Andrius
contents In this work, we propose a simplification of the Pollaczek-Khinchine formula for the ultimate time survival (or ruin) probability calculation in exchange for a few assumptions on the random variables which generate the renewal risk model. More precisely, we show the expressibility of the distribution function $$ \mathbb{P}\left(\sup_{n\geqslant1}\sum_{i=1}^{n}(X_i-cθ_i)<u\right),\,u\in\mathbb{N}_0 $$ via the roots of the probability generating function $G_{X-cθ}(s)=1$, the expectation $\mathbb{E}(X-cθ)$, and the probability mass function of $X-cθ$. We assume that the random variables $X_1,\,X_2,\,\ldots$ and $cθ_1,\,cθ_2,\,\ldots$ are independent copies of $X$ and $cθ$ respectively, $c>0$, $X$ and $cθ$ are independent non-negative and integer-valued, and the support of $θ$ is finite. We give few numerical outputs of the proven theoretical statements when the mentioned random variables admit some particular distributions.
format Preprint
id arxiv_https___arxiv_org_abs_2306_16897
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On the exact survival probability by setting discrete random variables in E. Sparre Andersen's model
Grigutis, Andrius
Probability
60G50, 60J80, 91G05
In this work, we propose a simplification of the Pollaczek-Khinchine formula for the ultimate time survival (or ruin) probability calculation in exchange for a few assumptions on the random variables which generate the renewal risk model. More precisely, we show the expressibility of the distribution function $$ \mathbb{P}\left(\sup_{n\geqslant1}\sum_{i=1}^{n}(X_i-cθ_i)<u\right),\,u\in\mathbb{N}_0 $$ via the roots of the probability generating function $G_{X-cθ}(s)=1$, the expectation $\mathbb{E}(X-cθ)$, and the probability mass function of $X-cθ$. We assume that the random variables $X_1,\,X_2,\,\ldots$ and $cθ_1,\,cθ_2,\,\ldots$ are independent copies of $X$ and $cθ$ respectively, $c>0$, $X$ and $cθ$ are independent non-negative and integer-valued, and the support of $θ$ is finite. We give few numerical outputs of the proven theoretical statements when the mentioned random variables admit some particular distributions.
title On the exact survival probability by setting discrete random variables in E. Sparre Andersen's model
topic Probability
60G50, 60J80, 91G05
url https://arxiv.org/abs/2306.16897