A law of the iterated logarithm for the heavily trimmed sums 重截和的重對數(shù)律
The bounded law of the iterated logarithm for sequen 隨機(jī)變量列的有界重對數(shù)律
Law of iterated logarithm for markov chains in markovian environments 馬氏環(huán)境中馬氏鏈的重對數(shù)律
Law of the iterated logarithm for nonstationary negatively associated random fields 隨機(jī)變量域的重對數(shù)律
The law of iterated logarithm of 氏重對數(shù)律
Precise asymptotic in the laws of large numbers and law of iterated logarithm for some statistics 一類統(tǒng)計量的強(qiáng)大數(shù)律和重對數(shù)律的精確極限性質(zhì)
Law of the iterated logarithm of quantile density estimator for left truncated and right censored data 左截斷右刪失數(shù)據(jù)下分位密度估計的重對數(shù)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 重對數(shù)律是概率極限理論中一類極為深刻的結(jié)果,是強(qiáng)大數(shù)律的精確化。
This dissertation consists of five chapters, in which we discuss the complete convergence and the iterated logarithm under dependent random variables 本文分為五章,討論了在相依變量的情形下的完全收斂性和重對數(shù)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 摘要本文給出了獨(dú)立隨機(jī)向量序列自正則和的重對數(shù)律成立的一個充分條件。