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Theoretical derivation reveals exact and asymptotic distributions for ratios of multiplied normal random variables, suggesting broad applications in statistical modeling.
Let X₁,… ,XM X 1 , … , X M and Y₁,… ,YN Y 1 , … , Y N be independent zero mean normal random variables with variances σ Xᵢ² σ X i 2 , i=1,… ,M i = 1 , … , M , and σ Yⱼ² σ Y j 2 , j=1,… ,N j = 1 , … , N , respectively, and let X=X₁⋯ XM X = X 1 ⋯ X M and Y=Y₁⋯ YN Y = Y 1 ⋯ Y N . In this paper, we derive the exact probability density function of the ratio X / Y . We apply this formula to derive exact formulas for the cumulative distribution function and the characteristic function. We also obtain further distributional properties, including asymptotic approximations for the probability density function, tail probabilities and the quantile function.
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Gaunt et al. (2026) studied this question.
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