Add to ORKGAbstract—For independent identically distributed random variables, the Marcinkiewicz strong law of large numbers is that sppose 0nEX , Then 1 / 0, ,..p nn S n a s if and only if 1 | | pE X . Let { , 1}nX n be an identically distributed -mixing sequence of random variables, in this paper, the Marcinkiewicz’s strong law of large numbers for { , 1}nX n is discussed, by using Wang Xiaoming’s Borell-Cantelli Lemma (Wang X. M.1997), we have the following equiverlences, 0
The article proves a theorem on the strong law of large numbers for linear functions of concomitants...
For an identically distributed [rho]*-mixing sequence of random variables {Xn,n>=1}, conditions are ...
Abstract—In This Article We establish moment inequality of dependent random variables,furthermore so...
Strong law of large numbers and complete convergence for sequences of *-mixing random variables are ...
AbstractFor the sequence of ρ˜-mixing identically distributed random variables, we show two general ...
This note examines the connection between general moment conditions and the applicability of the str...
This paper establishes two results for the strong law of large numbers under negative association an...
In this paper, the complete convergence and weak law of large numbers are established for -mixing s...
In this paper, the Marcinkiewicz type theorem is extended to the case of exchangeable random variabl...
This thesis presents an up-to-date survey of results concerning laws of large numbers for sequences ...
The connection between general moment conditions and the applicability of strong laws of large numbe...
In this paper, we study the almost sure convergence for -mixing sequences of random variables. As a ...
In this work, we study the almost sure convergence of the averages of certain classes of sequences a...
In this work, we study the almost sure convergence of the averages of certain classes of sequences a...
The strong law of the large numbers for U-statistics has been proved for a sequence of independent r...
The article proves a theorem on the strong law of large numbers for linear functions of concomitants...
For an identically distributed [rho]*-mixing sequence of random variables {Xn,n>=1}, conditions are ...
Abstract—In This Article We establish moment inequality of dependent random variables,furthermore so...
Strong law of large numbers and complete convergence for sequences of *-mixing random variables are ...
AbstractFor the sequence of ρ˜-mixing identically distributed random variables, we show two general ...
This note examines the connection between general moment conditions and the applicability of the str...
This paper establishes two results for the strong law of large numbers under negative association an...
In this paper, the complete convergence and weak law of large numbers are established for -mixing s...
In this paper, the Marcinkiewicz type theorem is extended to the case of exchangeable random variabl...
This thesis presents an up-to-date survey of results concerning laws of large numbers for sequences ...
The connection between general moment conditions and the applicability of strong laws of large numbe...
In this paper, we study the almost sure convergence for -mixing sequences of random variables. As a ...
In this work, we study the almost sure convergence of the averages of certain classes of sequences a...
In this work, we study the almost sure convergence of the averages of certain classes of sequences a...
The strong law of the large numbers for U-statistics has been proved for a sequence of independent r...
The article proves a theorem on the strong law of large numbers for linear functions of concomitants...
For an identically distributed [rho]*-mixing sequence of random variables {Xn,n>=1}, conditions are ...
Abstract—In This Article We establish moment inequality of dependent random variables,furthermore so...