Central and noncentral moments of the multivariate hypergeometric distribution

Fuente: arXiv
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Auteur principal: Ouimet, Frédéric
Format: Preprint
Publié: 2024
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author Ouimet, Frédéric
author_facet Ouimet, Frédéric
contents In this short note, explicit formulas are developed for the central and noncentral moments of the multivariate hypergeometric distribution. A numerical implementation is provided in Mathematica for fast evaluations. This work complements the paper by Ouimet (2021), where analogous formulas were derived and implemented in Mathematica for the multinomial distribution.
format Preprint
id arxiv_https___arxiv_org_abs_2404_09118
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Central and noncentral moments of the multivariate hypergeometric distribution
Ouimet, Frédéric
Probability
Statistics Theory
Computation
62E15, 60E05, 62H10
In this short note, explicit formulas are developed for the central and noncentral moments of the multivariate hypergeometric distribution. A numerical implementation is provided in Mathematica for fast evaluations. This work complements the paper by Ouimet (2021), where analogous formulas were derived and implemented in Mathematica for the multinomial distribution.
title Central and noncentral moments of the multivariate hypergeometric distribution
topic Probability
Statistics Theory
Computation
62E15, 60E05, 62H10
url https://arxiv.org/abs/2404.09118