具有2+δ-th矩的m相关随机变量调用函数的正态逼近

IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY
Ting Zhang , Lulu Tian , Tianyi Qi
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引用次数: 0

摘要

对于具有固定k>;0的调用函数hk(x)=max{x−k,0},我们应用Stein方法给出了弱矩条件下正态逼近的上界,包括均匀和非均匀两种情况。具体地说,我们讨论了对某些δ∈(0,1)具有较弱(2+δ)矩的m相关同分布随机变量的和。我们的研究结果使正态近似技术在调用函数中的应用具有更广阔的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Normal approximation for call function of m-dependent random variables with 2+δ-th moment
For the call function hk(x)=max{xk,0} with some fixed k>0, we apply Stein’s method to give the upper bounds of normal approximation under the weaker moment condition, containing both uniform and non uniform situations. Specifically, we discuss a sum of m-dependent and identically distributed random variables with weaker (2+δ)-th moment for some δ(0,1). Our results enable the application in call function to possess a broader field with normal approximation techniques.
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来源期刊
Statistics & Probability Letters
Statistics & Probability Letters 数学-统计学与概率论
CiteScore
1.60
自引率
0.00%
发文量
173
审稿时长
6 months
期刊介绍: Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature. Statistics & Probability Letters is a refereed journal. Articles will be limited to six journal pages (13 double-space typed pages) including references and figures. Apart from the six-page limitation, originality, quality and clarity will be the criteria for choosing the material to be published in Statistics & Probability Letters. Every attempt will be made to provide the first review of a submitted manuscript within three months of submission. The proliferation of literature and long publication delays have made it difficult for researchers and practitioners to keep up with new developments outside of, or even within, their specialization. The aim of Statistics & Probability Letters is to help to alleviate this problem. Concise communications (letters) allow readers to quickly and easily digest large amounts of material and to stay up-to-date with developments in all areas of statistics and probability. The mainstream of Letters will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published.
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