1,720,964 research outputs found
Contiunuous time homogeneous and non-homogeneous backward semi-Markov reward processes and insurance applications
No full textThe dynamic behaviour of a mono-unireducible non-homogeneous Markov chain
No full textMarkov chains, uniriducibility, non-homogeneit
CONTINUOUS TIME HOMOGENEOUS AND NON HOMOGENEOUS BACKWARD SEMI-MARKOV REWARD PROCESSES AN ACTUARIAL PERSPECTIVE
No full textDiscrete time reward processes, stochastic annuities and insurance models
No full textAbstract. The Markov and semi-Markov reward processes are a very powerful tool. They can be applied in many different fields, like mechanical systems, evaluation of computer systems etc. But in authors’ opinion the most fruitful and natural application environment of these tools is the insurance field. In the paper will be given the definition of stochastic annuity and of its generalization their strict relation to the homogeneous and non-homogeneous semi-Markov reward processes. At last it will be shown how is natural to apply these rewards processes in the insurance environment
Semi-Markov Models with Recurrence Time Processes: Application to the Credit Rating Problem
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