Moments of the Negative Multinomial Distribution

The negative multinomial distribution appears in many areas of applications such as polarimetric image processing and the analysis of longitudinal count data. In previous studies, general formulas for the falling factorial moments and cumulants of the negative multinomial distribution were obtained....

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Main Author: Frédéric Ouimet
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Mathematical and Computational Applications
Subjects:
Online Access:https://www.mdpi.com/2297-8747/28/4/85
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author Frédéric Ouimet
author_facet Frédéric Ouimet
author_sort Frédéric Ouimet
collection DOAJ
description The negative multinomial distribution appears in many areas of applications such as polarimetric image processing and the analysis of longitudinal count data. In previous studies, general formulas for the falling factorial moments and cumulants of the negative multinomial distribution were obtained. However, despite the availability of the moment generating function, no comprehensive formulas for the moments have been calculated thus far. This paper addresses this gap by presenting general formulas for both central and non-central moments of the negative multinomial distribution. These formulas are expressed in terms of binomial coefficients and Stirling numbers of the second kind. Utilizing these formulas, we provide explicit expressions for all central moments up to the fourth order and all non-central moments up to the eighth order.
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spelling doaj.art-b7e40a72703a419c91f0796c1ad9b4da2023-11-19T02:04:50ZengMDPI AGMathematical and Computational Applications1300-686X2297-87472023-07-012848510.3390/mca28040085Moments of the Negative Multinomial DistributionFrédéric Ouimet0Centre de Recherches Mathématiques, Université de Montréal, Montreal, QC H3T 1J4, CanadaThe negative multinomial distribution appears in many areas of applications such as polarimetric image processing and the analysis of longitudinal count data. In previous studies, general formulas for the falling factorial moments and cumulants of the negative multinomial distribution were obtained. However, despite the availability of the moment generating function, no comprehensive formulas for the moments have been calculated thus far. This paper addresses this gap by presenting general formulas for both central and non-central moments of the negative multinomial distribution. These formulas are expressed in terms of binomial coefficients and Stirling numbers of the second kind. Utilizing these formulas, we provide explicit expressions for all central moments up to the fourth order and all non-central moments up to the eighth order.https://www.mdpi.com/2297-8747/28/4/85negative multinomial distributionmomentscentral momentsnon-central moments
spellingShingle Frédéric Ouimet
Moments of the Negative Multinomial Distribution
Mathematical and Computational Applications
negative multinomial distribution
moments
central moments
non-central moments
title Moments of the Negative Multinomial Distribution
title_full Moments of the Negative Multinomial Distribution
title_fullStr Moments of the Negative Multinomial Distribution
title_full_unstemmed Moments of the Negative Multinomial Distribution
title_short Moments of the Negative Multinomial Distribution
title_sort moments of the negative multinomial distribution
topic negative multinomial distribution
moments
central moments
non-central moments
url https://www.mdpi.com/2297-8747/28/4/85
work_keys_str_mv AT fredericouimet momentsofthenegativemultinomialdistribution