DOAJ Open Access 2018

Asymptotics for the sum of three state Markov dependent random variables

Gabija Liaudanskaitė Vydas Čekanavičius

Abstrak

The insurance model when the amount of claims depends on the state of the insured person (healthy, ill, or dead) and claims are connected in a Markov chain is investigated. The signed compound Poisson approximation is applied to the aggregate claims distribution after $n\in \mathbb{N}$ periods. The accuracy of order $O({n^{-1}})$ and $O({n^{-1/2}})$ is obtained for the local and uniform norms, respectively. In a particular case, the accuracy of estimates in total variation and non-uniform estimates are shown to be at least of order $O({n^{-1}})$. The characteristic function method is used. The results can be applied to estimate the probable loss of an insurer to optimize an insurance premium.

Penulis (2)

G

Gabija Liaudanskaitė

V

Vydas Čekanavičius

Format Sitasi

Liaudanskaitė, G., Čekanavičius, V. (2018). Asymptotics for the sum of three state Markov dependent random variables. https://doi.org/10.15559/18-VMSTA123

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Informasi Jurnal
Tahun Terbit
2018
Sumber Database
DOAJ
DOI
10.15559/18-VMSTA123
Akses
Open Access ✓