On local limit theorems for

In this work, we establish local limit theorems for q- multinomial distributions of the first and second kind and of their discrete limits multiple Heine and multiple Euler distributions respectively. Specifically, the pointwise convergence of the q-multinomial distribution of the first kind, as well as for its discrete limit, the multiple Heine distribution, to a multivariate Stieltjes–Wigert type distribution, are provided. Moreover, the pointwise convergence of the q-multinomial distribution of the second kind, as well as for its discrete limit, the multiple Euler distribution, to a multivariate deformed Gaussian distribution, are proved. Interesting applications of the asymptotic behaviour of q-multinomials distributions of the two kinds are presented.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-29
DOI
https://doi.org/10.1051/ita/2025007/pdf
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

On local limit theorems for

Malvina Vamvakari
Springer Link (Chiba Institute of Technology)
Statistical Distribution Estimation and Applications
article

On local limit theorems for

Malvina Vamvakari
article en

Abstract

In this work, we establish local limit theorems for q- multinomial distributions of the first and second kind and of their discrete limits multiple Heine and multiple Euler distributions respectively. Specifically, the pointwise convergence of the q-multinomial distribution of the first kind, as well as for its discrete limit, the multiple Heine distribution, to a multivariate Stieltjes–Wigert type distribution, are provided. Moreover, the pointwise convergence of the q-multinomial distribution of the second kind, as well as for its discrete limit, the multiple Euler distribution, to a multivariate deformed Gaussian distribution, are proved. Interesting applications of the asymptotic behaviour of q-multinomials distributions of the two kinds are presented.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 19%
Statistical Distribution Estimation and Applications
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