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The effect of dependence on distribution of the functions of random variables

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  • Ali Dolati
  • Rasool Roozegar
  • Najmeh Ahmadi
  • Zohreh Shishebor

Abstract

In this article, we study the effect of dependence on the distributional properties of functions of two random variables. Expressions for the cumulative distribution functions of the linear combinations, products, and ratios of two dependent random variables in terms of their associated copula are derived. We discuss the effect of dependence on quantities such as the variances of linear combinations of functions, the value-at-risk measure, and the stress–strength parameter. Several examples, a simulation study, and a real data analysis are provided to illustrate the result.

Suggested Citation

  • Ali Dolati & Rasool Roozegar & Najmeh Ahmadi & Zohreh Shishebor, 2017. "The effect of dependence on distribution of the functions of random variables," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(21), pages 10704-10717, November.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:21:p:10704-10717
    DOI: 10.1080/03610926.2016.1242740
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    Cited by:

    1. Sel Ly & Kim-Hung Pho & Sal Ly & Wing-Keung Wong, 2019. "Determining Distribution for the Quotients of Dependent and Independent Random Variables by Using Copulas," JRFM, MDPI, vol. 12(1), pages 1-27, March.

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