期刊论文详细信息
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS 卷:422
Asymptotic expansions of the moments of extremes from general error distribution
Article
Jia, Pu1  Liao, Xin1  Peng, Zuoxiang1 
[1] Southwest Univ, Sch Math & Stat, Chongqing 400715, Peoples R China
关键词: Expansion of moment;    Extreme value distribution;    Maximum;    General error distribution;   
DOI  :  10.1016/j.jmaa.2014.09.030
来源: Elsevier
PDF
【 摘 要 】

In this paper, we derive the asymptotic expansions of the moments of normalized partial maxima for general error distribution. A byproduct is to deduce the convergence rates of the moments of normalized maxima to the moments of the corresponding extreme value distribution. (C) 2014 Elsevier Inc. All rights reserved.

【 授权许可】

Free   

【 预 览 】
附件列表
Files Size Format View
10_1016_j_jmaa_2014_09_030.pdf 322KB PDF download
  文献评价指标  
  下载次数:0次 浏览次数:0次