AbstractLet X,X1,X2,… be a sequence of nondegenerate i.i.d. random variables with zero means, set Sn=X1+⋯+Xn and Vn2=X12+⋯+Xn2, EX2I(|X|≤x) is a slowly varying function at ∞. We prove that, for any β>2,δ>2/β−1,limϵ↓0ϵβ(δ+1)−2∑n=2∞(logn)δ−2/βnE(Sn/Vn)2I(|Sn|≥ϵVn(logn)1/β)=βE|N|β(δ+1)β(δ+1)−2, where N is a standard normal random variable
Let X = {Xn}n≥1 and Y = {Yn}n≥1 be two independent random sequences. We obtain rates of convergence ...
Nonuniform rates of convergence to normality are studied for standardized sample sum of independent ...
Let fXi,1 < i < 1g be a doubly infinite sequence of identically distributed and negatively ass...
AbstractLet {X,Xn;n≥1} be a sequence of independent and identically distributed (i.i.d.) random vari...
Let {X,Xn;n≥1} be a sequence of independent and identically distributed (i.i.d.) random varia...
AbstractLet X,X1,X2,… be a sequence of nondegenerate i.i.d. random variables with zero means. Set Sn...
Abstract Let {X,Xn,n≥1} $\{X, X_{n}, n\geq1\}$ be a sequence of i.i.d. random variables with EX=0 $E...
AbstractLet X1,X2,… be a strictly stationary sequence of ρ-mixing random variables with mean zeros a...
AbstractLet X1,X2,… be i.i.d. random variables with partial sums Sn, n⩾1. The now classical Baum–Kat...
AbstractLet X,X1,X2,… be i.i.d. nondegenerate random variables with zero means, Sn=∑j=1nXj and Vn2=∑...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
We determine exactly when a certain randomly weighted self{normalized sum converges in distribution,...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
Abstract. Let fXi; i 1g be a sequence of i.i.d. nondegenerate random variables which is in the doma...
AbstractLet {X,Xi;i⩾1} be a sequence of independent and identically distributed positive random vari...
Let X = {Xn}n≥1 and Y = {Yn}n≥1 be two independent random sequences. We obtain rates of convergence ...
Nonuniform rates of convergence to normality are studied for standardized sample sum of independent ...
Let fXi,1 < i < 1g be a doubly infinite sequence of identically distributed and negatively ass...
AbstractLet {X,Xn;n≥1} be a sequence of independent and identically distributed (i.i.d.) random vari...
Let {X,Xn;n≥1} be a sequence of independent and identically distributed (i.i.d.) random varia...
AbstractLet X,X1,X2,… be a sequence of nondegenerate i.i.d. random variables with zero means. Set Sn...
Abstract Let {X,Xn,n≥1} $\{X, X_{n}, n\geq1\}$ be a sequence of i.i.d. random variables with EX=0 $E...
AbstractLet X1,X2,… be a strictly stationary sequence of ρ-mixing random variables with mean zeros a...
AbstractLet X1,X2,… be i.i.d. random variables with partial sums Sn, n⩾1. The now classical Baum–Kat...
AbstractLet X,X1,X2,… be i.i.d. nondegenerate random variables with zero means, Sn=∑j=1nXj and Vn2=∑...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
We determine exactly when a certain randomly weighted self{normalized sum converges in distribution,...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
Abstract. Let fXi; i 1g be a sequence of i.i.d. nondegenerate random variables which is in the doma...
AbstractLet {X,Xi;i⩾1} be a sequence of independent and identically distributed positive random vari...
Let X = {Xn}n≥1 and Y = {Yn}n≥1 be two independent random sequences. We obtain rates of convergence ...
Nonuniform rates of convergence to normality are studied for standardized sample sum of independent ...
Let fXi,1 < i < 1g be a doubly infinite sequence of identically distributed and negatively ass...