The distribution of the ratio of products of independent zero mean normal random variables

Fuente: arXiv
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Autores principales: Gaunt, Robert E., Sutcliffe, Heather L.
Formato: Preprint
Publicado: 2026
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author Gaunt, Robert E.
Sutcliffe, Heather L.
author_facet Gaunt, Robert E.
Sutcliffe, Heather L.
contents Let $X_1,\ldots,X_M$ and $Y_1,\ldots,Y_N$ be independent zero mean normal random variables with variances $σ_{X_i}^2$, $i=1,\ldots,M$, and $σ_{Y_j}^2$, $j=1,\ldots,N$, respectively, and let $X=X_1\cdots X_M$ and $Y=Y_1\cdots Y_N$. 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.
format Preprint
id arxiv_https___arxiv_org_abs_2601_12997
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The distribution of the ratio of products of independent zero mean normal random variables
Gaunt, Robert E.
Sutcliffe, Heather L.
Probability
Primary 60E05, 62E15, Secondary 33C60, 41A60
Let $X_1,\ldots,X_M$ and $Y_1,\ldots,Y_N$ be independent zero mean normal random variables with variances $σ_{X_i}^2$, $i=1,\ldots,M$, and $σ_{Y_j}^2$, $j=1,\ldots,N$, respectively, and let $X=X_1\cdots X_M$ and $Y=Y_1\cdots Y_N$. 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.
title The distribution of the ratio of products of independent zero mean normal random variables
topic Probability
Primary 60E05, 62E15, Secondary 33C60, 41A60
url https://arxiv.org/abs/2601.12997