AbstractThe Hsu-Robbins-Erdős law of large numbers (1947, 1949) states that ifX1,X2,… are independent identically distributed random variables andSn=X1+···+Xn, then[formula]for every ε>0 if and only ifE[X21]<∞ andE[X1]=0. Under some auxiliary conditions, Spătaru (1994) extended this to the case where theXnare no longer identically distributed, but rather their distributions come from a finite set of distributions. We improve Spătaru's conditions, and present a counterexample to a conjecture of his
Let 0 < p ≤ 2, let {Xn; n ≥ 1} be a sequence of independent copies of a real-val...
AbstractLet X,X1,X2,… be a sequence of i.i.d. random variables such that EX=0, let Z be a random var...
A sequence of random variables is said to be extended negatively dependent (END) if the tails of its...
AbstractThe Hsu-Robbins-Erdős law of large numbers (1947, 1949) states that ifX1,X2,… are in...
AbstractLet X1, X2, … be independent identically distributed random variables. Then, Hsu and Robbins...
identically distributed (i.i.d.) random variables. Let Sn-t^Xk (fl » 1, 2, • • •)• J f e- 1 A lon...
This paper provides a strong law of large numbers for independent and nonidentically distributed ran...
Chatterji strengthened version of a theorem for martingales which is a generalization of a theorem o...
AbstractIn case (Xn) is an i.i.d. sequence, and Sn = Xl + ··· + Xn, the Hsu-Robbins-Erdős theorem st...
The validity of the strong law of large numbers for multiple sums Sn of independent identically dis...
The original Erdos--Rényi theorem states that max0[less-than-or-equals, slant]k[less-than-or-equals,...
The strong law of the large numbers for U-statistics has been proved for a sequence of independent r...
Abstract—For independent identically distributed random variables, the Marcinkiewicz strong law of l...
c © Copyright 2007: Zhen Wang Inequalities are at the heart of mathematical and statistical theory. ...
AbstractFor the sequence of ρ˜-mixing identically distributed random variables, we show two general ...
Let 0 < p ≤ 2, let {Xn; n ≥ 1} be a sequence of independent copies of a real-val...
AbstractLet X,X1,X2,… be a sequence of i.i.d. random variables such that EX=0, let Z be a random var...
A sequence of random variables is said to be extended negatively dependent (END) if the tails of its...
AbstractThe Hsu-Robbins-Erdős law of large numbers (1947, 1949) states that ifX1,X2,… are in...
AbstractLet X1, X2, … be independent identically distributed random variables. Then, Hsu and Robbins...
identically distributed (i.i.d.) random variables. Let Sn-t^Xk (fl » 1, 2, • • •)• J f e- 1 A lon...
This paper provides a strong law of large numbers for independent and nonidentically distributed ran...
Chatterji strengthened version of a theorem for martingales which is a generalization of a theorem o...
AbstractIn case (Xn) is an i.i.d. sequence, and Sn = Xl + ··· + Xn, the Hsu-Robbins-Erdős theorem st...
The validity of the strong law of large numbers for multiple sums Sn of independent identically dis...
The original Erdos--Rényi theorem states that max0[less-than-or-equals, slant]k[less-than-or-equals,...
The strong law of the large numbers for U-statistics has been proved for a sequence of independent r...
Abstract—For independent identically distributed random variables, the Marcinkiewicz strong law of l...
c © Copyright 2007: Zhen Wang Inequalities are at the heart of mathematical and statistical theory. ...
AbstractFor the sequence of ρ˜-mixing identically distributed random variables, we show two general ...
Let 0 < p ≤ 2, let {Xn; n ≥ 1} be a sequence of independent copies of a real-val...
AbstractLet X,X1,X2,… be a sequence of i.i.d. random variables such that EX=0, let Z be a random var...
A sequence of random variables is said to be extended negatively dependent (END) if the tails of its...