Journal of Applied Probability · 2005 · 30 citations · 12 references
EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesMarkov ChainsMarkov ProcessesPoisson ProcessesProbability DistributionsRenewal ProcessesRenewal TheoryCounting Process ModelsProbability Inequalities For Sums Of Random VariablesRenewal Counting Processes
We provide sufficient conditions for the following types of random variable to have the increasing-failure-rate (IFR) property: sums of a random number of random variables; the time at which a Markov chain crosses a random threshold; the time until a random number of events have occurred in an inhomogeneous Poisson process; and the number of events of a renewal process, and of a general counting process, that have occurred by a randomly distributed time.
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