On compound sums under dependence

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Date

2017

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Volume Title

Publisher

Elsevier

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No

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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

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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Q1

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OpenCitations Citation Count
3

Source

Insurance: Mathematics and Economics

Volume

72

Issue

Start Page

228

End Page

234

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CrossRef : 1

Scopus : 4

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4

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4

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1

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