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A strong approximation of self-normalized sums 被引量:1

A strong approximation of self-normalized sums
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摘要 Let {X,Xn,n1} be a sequence of independent identically distributed random variables with EX=0 and assume that EX2I(|X|≤x) is slowly varying as x→∞,i.e.,X is in the domain of attraction of the normal law.In this paper a Strassen-type strong approximation is established for self-normalized sums of such random variables. Let {X, Xn,n ≥ 1} be a sequence of independent identically distributed random variables with EX = 0 and assume that EX2I(|X| ≤ x) is slowly varying as x → ∞, i.e., X is in the domain of attraction of the normal law. In this paper a Strassen-type strong approximation is established for self-normalized sums of such random variables.
出处 《Science China Mathematics》 SCIE 2013年第1期149-160,共12页 中国科学:数学(英文版)
基金 supported by an NSERC Canada Discovery Grant of M.Csrgo at Carleton University National Natural Science Foundation of China(Grant No.10801122) Research Fund for the Doctoral Program of Higher Education of China(Grant No.200803581009) the Fundamental Research Funds for the Central Universities
关键词 标准化 随机变量 独立同分布 吸引力 强逼近 en型 慢变 strong approximation, self-normalized sums, domain of attraction of the normal law
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