Let X1, X2,…, Xn be n independent, identically distributed, non negative random variables and put and Mn = ni=1 Xi. Let (X, Y) denote the uniform distanc distributions of random variables X and Y; i.e.We consider (Sn, Mn) when P(X1>x) is slowly varying and we provide bounds for the asymptotic behaviour of this quantity as n¿8, thereby establishing a uniform rate of convergence result in Darling's law for distributions with slowly varying tails
We prove a.s. limit theorems corresponding to the classical Darling-Erdös theorem for the maxima of ...
Let X,X1,X2,... be independent identically distributed random variables. Then, Baum and Katz [1965. ...
In our thesis we analyze one class of heavy-tailed distributions. Distributions belonging to this cl...
Let X1, X2,…, Xn be n independent, identically distributed, non negative random variables and put an...
Let X1, X2,…, Xn be n independent, identically distributed, non negative random variables and put an...
Let X1, X2,…, Xn be n independent, identically distributed, non negative random variables and put an...
Let X1, X2,…, Xn be n independent, identically distributed, non negative random variables and put an...
AbstractLet X1, X2,…, Xn be n independent, identically distributed, non negative random variables an...
AbstractLet X1, X2,…, Xn be n independent, identically distributed, non negative random variables an...
We show uniform estimates for distributions of the sum of i.i.d. random variables in the threshold c...
We show uniform estimates for distributions of the sum of i.i.d. random variables in the threshold c...
The research on asymptotic behavior of distributions of the sum of i.i.d random variables has a long...
The research on asymptotic behavior of distributions of the sum of i.i.d random variables has a long...
The authors first derive the normal expansion of the joint density function of two order statistics ...
For a sequence of independent non-identically distributed random variables with positive means, rate...
We prove a.s. limit theorems corresponding to the classical Darling-Erdös theorem for the maxima of ...
Let X,X1,X2,... be independent identically distributed random variables. Then, Baum and Katz [1965. ...
In our thesis we analyze one class of heavy-tailed distributions. Distributions belonging to this cl...
Let X1, X2,…, Xn be n independent, identically distributed, non negative random variables and put an...
Let X1, X2,…, Xn be n independent, identically distributed, non negative random variables and put an...
Let X1, X2,…, Xn be n independent, identically distributed, non negative random variables and put an...
Let X1, X2,…, Xn be n independent, identically distributed, non negative random variables and put an...
AbstractLet X1, X2,…, Xn be n independent, identically distributed, non negative random variables an...
AbstractLet X1, X2,…, Xn be n independent, identically distributed, non negative random variables an...
We show uniform estimates for distributions of the sum of i.i.d. random variables in the threshold c...
We show uniform estimates for distributions of the sum of i.i.d. random variables in the threshold c...
The research on asymptotic behavior of distributions of the sum of i.i.d random variables has a long...
The research on asymptotic behavior of distributions of the sum of i.i.d random variables has a long...
The authors first derive the normal expansion of the joint density function of two order statistics ...
For a sequence of independent non-identically distributed random variables with positive means, rate...
We prove a.s. limit theorems corresponding to the classical Darling-Erdös theorem for the maxima of ...
Let X,X1,X2,... be independent identically distributed random variables. Then, Baum and Katz [1965. ...
In our thesis we analyze one class of heavy-tailed distributions. Distributions belonging to this cl...