Results 11 to 20 of about 139 (54)

Asymptotic behavior of the maximum of multivariate order statistics in a norm sense

open access: yes, 2020
In this work, we investigate the asymptotic behavior of the extremes of a multivariate data by using the Reduced Ordering Principle (R-ordering). When, the sup-norm is used, we reveal the interrelation between the R-ordering principle and Marginal ...
H. M. Barakat, E. Nigm, M. H. Harpy
semanticscholar   +1 more source

On the right spread ordering of series systems with two heterogeneous Weibull components

open access: yesJournal of Inequalities and Applications, 2014
In this paper, we discuss the variability ordering of lifetimes of series systems with two independent heterogeneous Weibull components in terms of the right spread order.
Longxiang Fang, Wei Tang
semanticscholar   +2 more sources

Laws of large numbers for L‐statistics

open access: yesInternational Journal of Stochastic Analysis, Volume 7, Issue 2, Page 125-143, 1994., 1994
Consider Ln = n−1∑1≤i≤ncnig(Xn:i) for order statistics Xn:i and let for some (Lebesgue) λ‐summable over (0, 1) function J. Sufficient as well as necessary conditions for to hold almost surely and in probability are given. Superposition (or Nemytskii) operators have been used to derive the laws of large numbers for L‐statistics from the laws of large ...
Rimas Norvaiša
wiley   +1 more source

Various limit theorems for ratios from the uniform distribution

open access: yesOpen Mathematics, 2016
In this paper, we consider the ratios of order statistics in samples from uniform distribution and establish strong and weak laws for these ratios.
Miao Yu, Sun Yan, Wang Rujun, Dong Manru
doaj   +1 more source

Complete convergence for arrays of ratios of order statistics

open access: yesOpen Mathematics, 2019
Let {Xn,k, 1 ≤ k ≤ mn, n ≥ 1} be an array of independent random variables from the Pareto distribution. Let Xn(k) be the kth largest order statistic from the nth row of the array and set Rn,in,jn = Xn(jn)/Xn(in) where jn < in. The aim of this paper is to
Miao Yu   +3 more
doaj   +1 more source

Significance testing in quantile regression [PDF]

open access: yes, 2012
We consider the problem of testing significance of predictors in multivariate nonparametric quantile regression. A stochastic process is proposed, which is based on a comparison of the responses with a nonparametric quantile regression estimate under the
S. Volgushev   +3 more
semanticscholar   +1 more source

On a Generalized Raised Cosine Distribution: Some Properties, Characterizations and Applications

open access: yesMoroccan Journal of Pure and Applied Analysis, 2019
In this paper, we introduced a generalization of the raised cosine distribution. We also provided its several distributional properties and characterizations, including percentiles and some applications.
Ahsanullah M.   +2 more
doaj   +1 more source

On the Characterizations of Chen’s Two-Parameter Exponential Power Life-Testing Distribution

open access: yesJournal of Statistical Theory and Applications (JSTA), 2018
Characterizations of probability distributions play important roles in probability and statistics. Before a particular probability distribution model is applied to fit the real world data, it is essential to confirm whether the given probability ...
M. Shakil   +2 more
doaj   +1 more source

Bounds on the mean residual lifetime of progressive type II right censored order statistics

open access: yesJournal of Statistical Distributions and Applications, 2014
In this paper, we present some sharp upper bounds on the deviations of the mean residual lifetime of progressive type II right censored order statistics from the mean residual lifetime, m(t)=E(Xt)=E(X−t|X>t), for arbitrary t>0.
M. Z. Raqab
semanticscholar   +2 more sources

of a New Class of Generalized Pearson Distribution by Truncated Moment

open access: yes, 2016
A probability distribution can be characterized through various methods. In this paper, by using truncated moment, we present some characterizations of a new class of generalized Pearson distribution introduced by Shakil and Singh [12].
M. Shakil, B. M. Kibria, J. Singh
semanticscholar   +1 more source

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