Asymptotic behaviors of fractional binomial distributions derived from the generalized binomial theorem

Fuente: arXiv
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Main Authors: Hino, Masanori, Namba, Ryuya
Format: Preprint
Published: 2025
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author Hino, Masanori
Namba, Ryuya
author_facet Hino, Masanori
Namba, Ryuya
contents A fractional binomial distribution, introduced by Hino and Namba (2024) via the generalized binomial theorem, is a fractional variant of the classical binomial distribution. Building upon previous work that established limit theorems, such as the weak law of large numbers and the central limit theorem, for fractional binomial distributions, this paper further investigates their asymptotic behaviors. Specifically, we derive the large and moderate deviation principles and a Berry--Esseen type estimate for these distributions.
format Preprint
id arxiv_https___arxiv_org_abs_2506_10438
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Asymptotic behaviors of fractional binomial distributions derived from the generalized binomial theorem
Hino, Masanori
Namba, Ryuya
Probability
Primary 60E05, Secondary 60F05, 60F10
A fractional binomial distribution, introduced by Hino and Namba (2024) via the generalized binomial theorem, is a fractional variant of the classical binomial distribution. Building upon previous work that established limit theorems, such as the weak law of large numbers and the central limit theorem, for fractional binomial distributions, this paper further investigates their asymptotic behaviors. Specifically, we derive the large and moderate deviation principles and a Berry--Esseen type estimate for these distributions.
title Asymptotic behaviors of fractional binomial distributions derived from the generalized binomial theorem
topic Probability
Primary 60E05, Secondary 60F05, 60F10
url https://arxiv.org/abs/2506.10438