Results 41 to 50 of about 311 (133)

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

open access: yesInternational Journal of Stochastic Analysis, Volume 13, Issue 3, Page 261-267, 2000., 2000
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(|ξˆpn−ξp|>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
M. Amini, A. Bozorgnia
wiley   +1 more source

Marcinkiewicz‐type strong law of large numbers for double arrays of pairwise independent random variables

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 22, Issue 1, Page 171-177, 1999., 1999
Let {Xij} be a double sequence of pairwise independent random variables. If P{|Xmn| ≥ t} ≤ P{|X| ≥ t} for all nonnegative real numbers t and , for 1 < p < 2, then we prove that Under the weak condition of E|X|plog+|X| < ∞, it converges to 0 in L1. And the results can be generalized to an r‐dimensional array of random variables under the conditions ...
Dug Hun Hong, Seok Yoon Hwang
wiley   +1 more source

Complete convergence of weighted sums under negative dependence

open access: yes, 2011
Negatively dependent, Complete convergence, Weighted sums, 60F15,
H. Zarei, H. Jabbari
core   +1 more source

On the law of large numbers for the bootstrap mean [PDF]

open access: yes, 1992
Direct and elementary proofs are given for weak and strong laws of large numbers for bootstrap sample means under minimal moment conditions. Concerning the required rate of divergence of the bootstrap sample size, the strong laws obtained improve on ...
Csorgo, Sandor, Sándor Csörgő
core   +1 more source

Largest nearest-neighbour link and connectivity threshold in a polytopal random sample [PDF]

open access: yes, 2023
A preprint version of the article is available at arXiv:2301.02506v1 [math.PR], https://arxiv.org/abs/2301.02506.. It has not been certified by peer-review.A CC BY or equivalent licence is applied to the AAM arising from this submission, in accordance ...
Penrose, MD, Higgs, F, Yang, X
core   +1 more source

On complete convergence for randomly indexed sums for a case without identical distributions

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 20, Issue 4, Page 773-782, 1997., 1996
In this note we extend the complete convergence for randomly indexed sums given by Klesov (1989) to nonidentical distributed random variables.
Anna Kuczmaszewska, Dominik Szynal
wiley   +1 more source

On the complete convergence for END random variables

open access: yes, 2018
In this paper, the complete convergence for the maximum partial sums of extended negatively dependent random variables are established. In particular, the Marcinkiewicz-Zygmund type strong law of large numbers for extended negatively dependent random ...
Shui-Li Zhang, Cong Qu, Fang-Yu Sun
semanticscholar   +1 more source

Limiting behavior of the perturbed empirical distribution functions evaluated at U‐statistics for strongly mixing sequences of random variables

open access: yesInternational Journal of Stochastic Analysis, Volume 10, Issue 1, Page 3-20, 1997., 1996
We prove the almost sure representation, a law of the iterated logarithm and an invariance principle for the statistic for a class of strongly mixing sequences of random variables {Xi, i ≥ 1}. Stationarity is not assumed. Here is the perturbed empirical distribution function and Un is a U‐statistic based on X1, …, Xn.
Shan Sun, Ching-Yuan Chiang
wiley   +1 more source

A note on the almost sure limit theorem for self-normalized partial sums of random variables in the domain of attraction of the normal law

open access: yes, 2012
Let X, X1, X2,... be a sequence of independent and identically distributed random variables in the domain of attraction of a normal distribution. A universal result in almost sure limit theorem for the self-normalized partial sums Sn/Vnis established ...
Qun-Ying Wu
semanticscholar   +1 more source

Complete convergence for weighted sums of arrays of rowwise ρ˜-mixing random variables

open access: yesJournal of Inequalities and Applications, 2013
Let {Xni,i≥1,n≥1} be an array of rowwise ρ˜-mixing random variables. Some sufficient conditions for complete convergence for weighted sums of arrays of rowwise ρ˜-mixing random variables are presented without assumptions of identical distribution.
A. Shen   +3 more
semanticscholar   +1 more source

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