Local limit theorems without assuming finite third moment

Author:

Kammoo Punyapat,Laipaporn Kittipong,Neammanee KritsanaORCID

Abstract

AbstractOne of the most fundamental probabilities is the probability at a particular point. The local limit theorem is the well-known theorem that estimates this probability. In this paper, we estimate this probability by the density function of normal distribution in the case of lattice integer-valued random variables. Our technique is the characteristic function method. We complete to relax the third moment condition of Siripraparat and Neammanee (J. Inequal. Appl. 2021:57, 2021) and the references therein and also obtain explicit constants of the error bound.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Analysis

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Local limit theorems for collective risk models;Statistics & Probability Letters;2023-10

2. The local limit theorem for general weighted sums of Bernoulli random variables;Communications in Statistics - Theory and Methods;2023-04-08

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