#NAME?

Let Xl,...,Xn be negatively dependent uniformly bounded random

variables with d.f. F(x). In this paperwe obtain bounds for the^ probabilities

P(I Y=IXil >_nt) and P(l(pn-pl >e) where pn is the

sample ...

In this paper we study the SLLN of weighted sums for ND random variables.

In this paper, we obtain the upper exponential bounds for the tail probabilities of the quadratic forms for negatively dependent subgaussian random variables. In particular the law of iterated logarithm for quadratic forms ...

In this paper, we extend some exponential bounds for tail probabilities of bilinear forms for negatively dependent subgaussian random variables. Then by using these inequalities we obtain the law of the iterated logarithm ...