Results 31 to 40 of about 137 (132)
Our goal is to state and prove the almost sure central limit theorem for maxima (Mn) of X1, X2, ..., Xn, n ∈ ℕ, where (Xi) forms a stochastic process of identically distributed r.v.’s of the continuous type, such that, for any fixed n, the family of r.v.’
Dudziński Marcin, Furmańczyk Konrad
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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
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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
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Exponential inequality for negatively associated random variables [PDF]
Covariance function, Exponential inequality, Negative association, 60F15, 62G20,
H. Nooghabi, H. Azarnoosh
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On complete convergence for randomly indexed sums for a case without identical distributions
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
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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
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Asymptotic distribution for products of sums under dependence [PDF]
Asymptotic distribution, Products of sums, Linear positive quadrant dependence, Linear negative quadrant dependence, 60F05, 60F15,
Jian-Feng Wang, Yun-Xia Li
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Behavior of the empirical Wasserstein distance in R^d under moment conditions [PDF]
International audienceWe establish some deviation inequalities, moment bounds and almost sure results for the Wasserstein distance of order p ∈ [1, ∞) between the empirical measure of independent and identically distributed R d-valued random variables ...
Dedecker, Jérôme, Merlevède, Florence
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On complete convergence of the sum of a random number of a stable type P random elements
Complete convergence for randomly indexed normalized sums of random elements of the form is established. The random elements {Xn} belong to a type p stable space and are assumed to be independent, but not necessarily identically distributed. No assumptions are placed on the joint distributions of the stopping times {Tn}.
André Adler, Andrey Volodin
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Strong law of large numbers for pairwise positive quadrant dependent random variables [PDF]
Associated random variables, Markov chain, Positive quadrant dependence, Rate of convergence, Stochastic equicontinuity, 60F15,
Alessio Sancetta
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