
arXiv: 2302.12581
Let X and Y be independent variance-gamma random variables with zero location parameter; then the exact probability density function of the ratio X / Y is derived. Some basic distributional properties are also derived, including identification of parameter regimes under which the density is bounded, asymptotic approximations of tail probabilities, and fractional moments; in particular, we see that the mean is undefined. In the case that X and Y are independent symmetric variance-gamma random variables, an exact formula is also given for the cumulative distribution function of the ratio X / Y .
Meijer \(G\)-function, Probability (math.PR), Variance-gamma distribution, Exact distribution theory in statistics, hypergeometric function, variance-gamma distribution, Primary 60E05, 62E15, Meijer G-function, product of correlated normal random variables, QA1-939, FOS: Mathematics, Probability distributions: general theory, ratio distribution, Meijer $G$-function, Mathematics, Mathematics - Probability
Meijer \(G\)-function, Probability (math.PR), Variance-gamma distribution, Exact distribution theory in statistics, hypergeometric function, variance-gamma distribution, Primary 60E05, 62E15, Meijer G-function, product of correlated normal random variables, QA1-939, FOS: Mathematics, Probability distributions: general theory, ratio distribution, Meijer $G$-function, Mathematics, Mathematics - Probability
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