Journal of Applied Mathematics and Stochastic Analysis 
Volume 13 (2000), Issue 3, Pages 261-267
doi:10.1155/S104895330000023X

Negatively dependent bounded random variable probability inequalities and the strong law of large numbers

M. Amini and A. Bozorgnia

Ferdowsi University, Faculty of Mathematical Sciences, Mashhad, Iran

Received 1 January 1998; Revised 1 January 2000

Abstract

Let X1,,Xn be negatively dependent uniformly bounded random variables with d.f. F(x). In this paper we obtain bounds for the probabilities P(|i=1nXi|nt) and P(|ξˆpnξp|>ϵ) where ξˆpn is the sample pth quantile and ξp is the pth quantile of F(x). Moreover, we show that ξˆpn is a strongly consistent estimator of ξp under mild restrictions on F(x) in the neighborhood of ξp. We also show that ξˆpn converges completely to ξp.