AbstractLet X,X1,X2,… be a sequence of nondegenerate i.i.d. random variables with zero means. Set Sn=X1+⋯+Xn and Wn2=X12+⋯+Xn2. In the present paper we examine the precise asymptotic behavior for the general deviation probabilities of self-normalized sums, Sn/Wn. For positive functions g(x), ϕ(x), α(x) and κ(x), we obtain the precise asymptotics for the following deviation probabilities of self-normalized sums:α(ϵ)∑n=1∞g(ϕ(n))ϕ′(n)E[(Sn/Wn)2I(|Sn|⩾Wn(ϵϕ(n)+κ(n)))]. The results given can be considered as the generalization of that in the complete moment convergence, law of iterated logarithm and large deviation for self-normalized sums
AbstractLet X1,X2,… be i.i.d. random variables with distribution μ and with mean zero, whenever the ...
AbstractLet {Xn,n⩾1} be i.i.d. Rd-valued random variables. We prove partial moderate deviation princ...
AbstractLet {Xn;n⩾1} be a strictly stationary sequence of positively associated random variables wit...
AbstractLet X,X1,X2,… be a sequence of nondegenerate i.i.d. random variables with zero means. Set Sn...
AbstractLet {X,Xn;n≥1} be a sequence of independent and identically distributed (i.i.d.) random vari...
Let X, X1, X2,... be i.i.d. nondegenerate random variables, Sn = ∑j=1n Xj and Vn2 = ∑j=1n. We invest...
AbstractLet {X,Xi;i⩾1} be a sequence of independent and identically distributed positive random vari...
AbstractLet X,X1,X2,… be a sequence of nondegenerate i.i.d. random variables with zero means, set Sn...
AbstractLet X,X1,X2,… be a sequence of independent and identically distributed positive random varia...
If Xi are i.i.d. and have zero mean and arbitrary finite variance the limiting probability distribut...
In this paper we shall derive Exponential nonuniform Berry-Esseen bounds in the central limit theore...
AbstractLet {X, Xn; n ≥ 1} be a sequence of i.i.d. random variables. Set Sn = X1 + X2 + … + Xn and M...
AbstractLet X,X1,X2,… be i.i.d. nondegenerate random variables with zero means, Sn=∑j=1nXj and Vn2=∑...
AbstractThe original Erdős—Rényi theorem states that max0⩽k⩽n∑k+[clogn]i=k+1Xi/[clogn]→α(c),c>0, alm...
AbstractLet {Xi,i≥1} be a sequence of i.i.d. random variables which is in the domain of attraction o...
AbstractLet X1,X2,… be i.i.d. random variables with distribution μ and with mean zero, whenever the ...
AbstractLet {Xn,n⩾1} be i.i.d. Rd-valued random variables. We prove partial moderate deviation princ...
AbstractLet {Xn;n⩾1} be a strictly stationary sequence of positively associated random variables wit...
AbstractLet X,X1,X2,… be a sequence of nondegenerate i.i.d. random variables with zero means. Set Sn...
AbstractLet {X,Xn;n≥1} be a sequence of independent and identically distributed (i.i.d.) random vari...
Let X, X1, X2,... be i.i.d. nondegenerate random variables, Sn = ∑j=1n Xj and Vn2 = ∑j=1n. We invest...
AbstractLet {X,Xi;i⩾1} be a sequence of independent and identically distributed positive random vari...
AbstractLet X,X1,X2,… be a sequence of nondegenerate i.i.d. random variables with zero means, set Sn...
AbstractLet X,X1,X2,… be a sequence of independent and identically distributed positive random varia...
If Xi are i.i.d. and have zero mean and arbitrary finite variance the limiting probability distribut...
In this paper we shall derive Exponential nonuniform Berry-Esseen bounds in the central limit theore...
AbstractLet {X, Xn; n ≥ 1} be a sequence of i.i.d. random variables. Set Sn = X1 + X2 + … + Xn and M...
AbstractLet X,X1,X2,… be i.i.d. nondegenerate random variables with zero means, Sn=∑j=1nXj and Vn2=∑...
AbstractThe original Erdős—Rényi theorem states that max0⩽k⩽n∑k+[clogn]i=k+1Xi/[clogn]→α(c),c>0, alm...
AbstractLet {Xi,i≥1} be a sequence of i.i.d. random variables which is in the domain of attraction o...
AbstractLet X1,X2,… be i.i.d. random variables with distribution μ and with mean zero, whenever the ...
AbstractLet {Xn,n⩾1} be i.i.d. Rd-valued random variables. We prove partial moderate deviation princ...
AbstractLet {Xn;n⩾1} be a strictly stationary sequence of positively associated random variables wit...