Add to ORKGLet (Xi} be a sequence of independent, identically-distributed random variables with EX2i \u3c ꝏ and E(Xi - EXi)2 = 1
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
We consider a random number Nn of m-dependent random variables Xk with a common distribution and the...
AbstractLet (Xj, j ≥ 1) be a strictly stationary sequence of uniformly mixing random variables with ...
Let F_n(x) denote the distribution of the normalized partial sum of independent random variables wit...
Let F_n(x) denote the distribution of the normalized partial sum of independent random variables wit...
s | be independent and identically distributed random variables with zero mean, unit variance and fi...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
The remainder term in the multidimensional central limit theorem for sum of independent random vecto...
AbstractAn interesting recent result of Landers and Roggé (1977, Ann. Probability 5, 595–600) is inv...
Abstract. This note gives the convergence rate in the central limit theorem and the random central l...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
In this note we obtain rates of convergence in the central limit theorem for certain maximum of coor...
AbstractIn this note we obtain rates of convergence in the central limit theorem for certain maximum...
"Let ＄￥{X_{n}, n￥in N￥}＄ be a sequence of independent random variables with ＄E[X_{n}]=0＄ and ＄ E[X_{...
Convergence rates in two-sided law of large numbers for sums,S, : Xr *...*Xn of, independent identic...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
We consider a random number Nn of m-dependent random variables Xk with a common distribution and the...
AbstractLet (Xj, j ≥ 1) be a strictly stationary sequence of uniformly mixing random variables with ...
Let F_n(x) denote the distribution of the normalized partial sum of independent random variables wit...
Let F_n(x) denote the distribution of the normalized partial sum of independent random variables wit...
s | be independent and identically distributed random variables with zero mean, unit variance and fi...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
The remainder term in the multidimensional central limit theorem for sum of independent random vecto...
AbstractAn interesting recent result of Landers and Roggé (1977, Ann. Probability 5, 595–600) is inv...
Abstract. This note gives the convergence rate in the central limit theorem and the random central l...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
In this note we obtain rates of convergence in the central limit theorem for certain maximum of coor...
AbstractIn this note we obtain rates of convergence in the central limit theorem for certain maximum...
"Let ＄￥{X_{n}, n￥in N￥}＄ be a sequence of independent random variables with ＄E[X_{n}]=0＄ and ＄ E[X_{...
Convergence rates in two-sided law of large numbers for sums,S, : Xr *...*Xn of, independent identic...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
We consider a random number Nn of m-dependent random variables Xk with a common distribution and the...
AbstractLet (Xj, j ≥ 1) be a strictly stationary sequence of uniformly mixing random variables with ...