Precise asymptotic in the laws of large numbers and law of iterated logarithm for some statistics 一类统计量的强大数律和重对数律的精确极限性质
Law of the iterated logarithm of quantile density estimator for left truncated and right censored data 左截断右删失数据下分位密度估计的重对数律
The law of the iterated logarithm is a kind of profound result on the limit theory , it make the strong law of large numbers exact 重对数律是概率极限理论中一类极为深刻的结果,是强大数律的精确化。
This dissertation consists of five chapters , in which we discuss the complete convergence and the iterated logarithm under dependent random variables 本文分为五章,讨论了在相依变量的情形下的完全收敛性和重对数律。
In this paper , sufficient conditions are given for applicability of the law of the iterated logarithm for self - normalized sums of independent random vectors 摘要本文给出了独立随机向量序列自正则和的重对数律成立的一个充分条件。