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幂赋范下的极值大偏差

On Large Deviation of Extremes under Power Normalization
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摘要 (Xn,n≥1)为独立同分布随机变量序列,Mn=max(X1,…,Xn).本文在二阶广义正规变换函数条件下得到了幂赋范情形中Mn分布更为精确的一致渐近展开,以及相应的更为精确的极值大偏差结果. Let (Xn,n≥1) be a sequence of independent and identically distributed discrete random variable, denoted by Mn=max(X1,…,Xn), the partial maximum. In this note, an improved uniform approxima- tion of the distribution of Mn with second order extended regularly varying condition under power normali- zation is derived, which implies a general result about large deviations of Mn under power normalization.
作者 孙歆 段誉
出处 《西南师范大学学报(自然科学版)》 CAS 北大核心 2015年第7期7-11,共5页 Journal of Southwest China Normal University(Natural Science Edition)
基金 国家自然科学基金项目(11361003) 中央高校基本科研业务费专项资金项目(XDJK2013C006)
关键词 最大值极限分布 幂赋范 大偏差 二阶广义正规变换函数 limiting distribution of maxima power normalization large deviations second order extended regularly varying function
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参考文献9

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二级参考文献8

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