On mixture relationships between central and non-central chi-squared difference distributions

Gaunt (2026) introduced and studied the non-central chi-squared difference distribution. One version of this arose as the distribution of the product of the two marginal random variables of the general (non-degenerate) bivariate normal distribution. Initially, I provide an alternative basic argument as to why this is so. The main focus of the article, however, is to extend a number of known mixing relationships between (non-central) chi-squared distributions to the (non-central) chi-squared difference distribution case. In certain circumstances, just a single mixing random variable remains required rather than the two independent ones that are trivially applicable in general.

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Publication Details

Journal
Statistics & Probability Letters
Published
2025-11-04
DOI
https://doi.org/10.1016/j.spl.2025.110588
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

On mixture relationships between central and non-central chi-squared difference distributions

M. C. Jones
Statistics & Probability Letters
Statistical Distribution Estimation and Applications
article

On mixture relationships between central and non-central chi-squared difference distributions

M. C. Jones
article en

Abstract

Gaunt (2026) introduced and studied the non-central chi-squared difference distribution. One version of this arose as the distribution of the product of the two marginal random variables of the general (non-degenerate) bivariate normal distribution. Initially, I provide an alternative basic argument as to why this is so. The main focus of the article, however, is to extend a number of known mixing relationships between (non-central) chi-squared distributions to the (non-central) chi-squared difference distribution case. In certain circumstances, just a single mixing random variable remains required rather than the two independent ones that are trivially applicable in general.

Statistics & Probability LettersVol. 229
The Open University (GB)
Openalex Percentile: Top 70%
Statistical Distribution Estimation and Applications
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