On sequential maxima of geometric sample means, with extension to the ruin probability
Filomat, Tome 36 (2022) no. 17, p. 5857
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In this paper, we consider the ruin probability of risk models with a geometric distribution of claim sizes. Since their probabilities can't be calculated directly, we use exponential distribution to estimate its upper and lower bounds and asymptotic estimates based on the relationship between geometric distribution and exponential distribution. Finally, some numerical simulations are given to prove the superiority of our estimates.
Classification :
65C05, 28B15
Keywords: ruin probability, geometric distribution, discrete-time risk model, Monte Carlo method, integral function
Keywords: ruin probability, geometric distribution, discrete-time risk model, Monte Carlo method, integral function
Dawei Lu; Yan Wang; Jingmei Li. On sequential maxima of geometric sample means, with extension to the ruin probability. Filomat, Tome 36 (2022) no. 17, p. 5857 . doi: 10.2298/FIL2217857L
@article{10_2298_FIL2217857L,
author = {Dawei Lu and Yan Wang and Jingmei Li},
title = {On sequential maxima of geometric sample means, with extension to the ruin probability},
journal = {Filomat},
pages = {5857 },
year = {2022},
volume = {36},
number = {17},
doi = {10.2298/FIL2217857L},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.2298/FIL2217857L/}
}
TY - JOUR AU - Dawei Lu AU - Yan Wang AU - Jingmei Li TI - On sequential maxima of geometric sample means, with extension to the ruin probability JO - Filomat PY - 2022 SP - 5857 VL - 36 IS - 17 UR - http://geodesic.mathdoc.fr/articles/10.2298/FIL2217857L/ DO - 10.2298/FIL2217857L LA - en ID - 10_2298_FIL2217857L ER -
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