Eryilmaz, SerkanIndustrial Engineering2024-07-052024-07-0520170167-66871873-595910.1016/j.insmatheco.2016.12.0032-s2.0-85007129517https://doi.org/10.1016/j.insmatheco.2016.12.003https://hdl.handle.net/20.500.14411/586Eryilmaz, Serkan/0000-0002-2108-1781In this paper, we study the compound random variable S = Sigma(N)(t-1) Y-t when there is a dependence between a random variable N and a sequence of random variables {Y-t}(t >= 1). Such a compound random variable has been found to be useful in several fields including actuarial science, risk management, and reliability. In particular, we develop some results on distributional properties of the random variable S when N is a phase-type random variable that is defined on a sequence of binary trials and depends on {Y-t}(t >= 1). We "present illustrative examples and an application for the use of results in actuarial science. (C) 2016 Elsevier B.V. All rights reserved.eninfo:eu-repo/semantics/closedAccessCompound distributionsDependencePhase-type distributionsProbability generating functionWaiting timesArticleQ272228234WOS:0003935341000183