摘要
本文系统综述2013年至今来自独立、相依异构型样本的次序统计量随机比较的研究进展,样本总体包括比例失效率模型、比例反失效率模型、尺度参数模型、形状参数模型(伽马分布、布尔分布、贝塔分布)及若干其它分布模型等,研究结果涉及独立或相依样本的最大、第二大、第二小及最小次序统计量.在此基础上提出进一步的研究展望.
This paper systematically reviews the development since 2013 of stochastic comparisons for order statistics from independent or dependent heterogeneous samples.Sample populations include proportional hazard model,proportional reversed hazard model,scale model,shape parameter model(Gamma distribution,Burr distribution,Beta distribution)and several other distribution models.The research findings cover the largest,the second largest,the second smallest and the smallest order statistics.Furthermore,prospects of future study on stochastic comparison on order statistics are highlighted.
作者
张靖
方睿
ZHANG Jing;FANG Rui(Department of Statistics and Actuarial Science,The University of Hong Kong,Hong Kong 999077,China;Department of Mathematics,Shantou University,Shantou 515063,Guangdong,China)
出处
《汕头大学学报(自然科学版)》
2022年第4期3-13,共11页
Journal of Shantou University:Natural Science Edition
基金
广东省自然科学基金资助项目(2020A1515010436)。
关键词
次序统计量
随机序
联结函数
异构型样本
优化序
order statistics
stochastic order
copula
heterogeneous sample
majorization