Abstract
Upper and lower bounds are studied for the solutions of Markov renewal equations. Some of their special cases are derived under specific marginal conditons and in an alternating environment. The method to construct the bounds is also explained in detail. At the end, these bounds are applied to a shock model and an age-dependent branching process under Markovian environment.
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References
Asmussen S (1989) Risk theory in a Markovian environment. Scand Actuarial J 2:69–100
Asmussen S, Henriksen LF, Klüppelberg C (1994) Large claims approximations for risk processes in a markovian environment. Stoch Proc Appl 54:29–43
Asmussen S (2000) Ruin probabilities. World Scientific, Singapore
Asmussen S (2003) Applied probability and queues. Springer, Berlin Heidelberg New York
Dieulle L (1999) Reliability of a system with poisson inspection times. J Appl Probab 36:1140–1154
Grabski F (2003) The reliability of an object with semi-Markov failure rate. Appl Math Comput 135:1–16
Kesten H (1974) Renewal theory for functional of Markov chain with general state space. Ann Probab 2:355–386
Kotlyar V, Khomenko L (1992) Classes of ‘aging’ distributions. Cybern Syst 28:403–421
Miyazawa M (2002) A Markov renewal approach to the asymptotic decay of the tail probabilities in risk and queueing processes. Prob Eng Inform Sci 16:139–150
Willmot G, Cai J, Lin X (2001) Lundberg inequalities for renewal equations. Adv Appl Probab 33:674–689
Wu Y (1999) Bounds for the ruin probability under a Markovian modulated risk model. Commun Statist-Stochatic Models 15:125–136
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Li, G., Luo, J. Upper and lower bounds for the solutions of Markov renewal equations. Math Meth Oper Res 62, 243–253 (2005). https://doi.org/10.1007/s00186-005-0008-6
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DOI: https://doi.org/10.1007/s00186-005-0008-6