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On the Expected Penalty Functions in a Discrete Semi-Markov Risk Model |
LIU Haiyan; CHEN Mi |
School of Mathematics and Computer Science, Fujian
Normal University |
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Abstract This paper considers the expected penalty functions for a
discrete semi-Markov risk model, which includes several existing risk models such
as the compound binomial model (with time-correlated claims) and the compound Markov
binomial model (with time-correlated claims) as special cases. Recursive formulae
and the initial values for the discounted free penalty functions are derived in the
two-state model by an easy method. We also give some applications of our results.
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Corresponding Authors:
CHEN Mi
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