On compound sums under dependence
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Green Open Access
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Abstract
In 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.
Description
Eryilmaz, Serkan/0000-0002-2108-1781
ORCID
Keywords
Compound distributions, Dependence, Phase-type distributions, Probability generating function, Waiting times, Applications of statistics to actuarial sciences and financial mathematics, compound distributions, waiting times, Risk theory, insurance, Probability distributions: general theory, dependence, phase-type distributions, probability generating function
Fields of Science
0102 computer and information sciences, 0101 mathematics, 01 natural sciences
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OpenCitations Citation Count
3
Volume
72
Issue
Start Page
228
End Page
234
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CrossRef : 1
Scopus : 4
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