对数广义误差分布极值的渐近展开  

Asymptotic Expansion of Extremes for Logarithmic General Error Distribution

作　　者：谭小枫 彭作祥[1] TAN Xiao-feng;PENG Zuo-xiang(School of Mathematics and Statistics,Southwest University,Chongqing 400715,China)

机构地区：[1]西南大学数学与统计学院,重庆400715

出　　处：《西南师范大学学报（自然科学版）》2020年第5期13-16,共4页Journal of Southwest China Normal University(Natural Science Edition)

摘　　要：研究了同服从对数广义误差分布独立随机变量序列{Xn,n≥1}的规范化最大值的极值分布展开性质.Let {Xn, n≥1} be an independent, identically distributed random sequence with each having the logarithmic general error distribution. In this paper, expansions properties of the logarithmic general error distribution of the maximum have been derived to its extreme value limit.

关 键 词：对数广义误差分布 最大值 极值分布 渐近展开 

分 类 号：O211.4[理学—概率论与数理统计]