2014
DOI: 10.1016/j.amc.2014.09.040
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Bi-seasonal discrete time risk model

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Cited by 18 publications
(28 citation statements)
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“…Then (3) can be derived by induction with induction basis obtained from (6). Equality (2) can be derived in a way similar to that in [8] with only the difference that the coefficients a n used in the proof are different.…”
Section: Proof Of Theorem 21mentioning
confidence: 99%
“…Then (3) can be derived by induction with induction basis obtained from (6). Equality (2) can be derived in a way similar to that in [8] with only the difference that the coefficients a n used in the proof are different.…”
Section: Proof Of Theorem 21mentioning
confidence: 99%
“…According to this theorem, we can calculate the finite-time ruin probability ψ (0) (u, T ) of the initial model for all u ∈ N 0 and T ∈ N. Unfortunately, it is impossible to get formulas for ψ(u) similar to formulas (2) and (3) in the general case because in the case of nonidentically distributed claims, the future of model behavior at each time can be completely new. In paper [4], the general discrete-time risk model was restricted to the model with two kinds of claims. In this model, there are two differently distributed claim amounts that are changing periodically.…”
Section: Theorem 1 Let Us Consider the Inhomogeneous Discrete-time Rmentioning
confidence: 99%
“…We call such a model the bi-seasonal discrete-time risk model. In [4] (see Theorem 2.3), the following statement is proved for the calculation of the ultimate ruin probability. Theorem 2.…”
Section: Theorem 1 Let Us Consider the Inhomogeneous Discrete-time Rmentioning
confidence: 99%
See 1 more Smart Citation
“….} and t ∈ N. The model given in (3), we call the three-risk discrete time model, and our motivation to investigate it is research is done in [2][3][4][5], where discrete time risk models were investigated with the following occurrence order of claims {X, Y, X, Y, . .…”
Section: Introductionmentioning
confidence: 99%