Results 11 to 20 of about 213 (120)
Asymptotic behavior of the maximum of multivariate order statistics in a norm sense
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
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
Goodness-of-Fit Tests in Nonparametric Regression [PDF]
AMS classifications: 62G08, 62G10, 62G20, 62G30 ...
John H. J. Einmahl +3 more
core +1 more source
Laws of large numbers for L‐statistics
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
Bootstrap variance estimation for Nadaraya quantile estimator [PDF]
Nadaraya quantile estimator, Order-calibration, Smoothed bootstrap, 62G05, 62G09, 62G30,
Cheung, KY +5 more
core +1 more source
Various limit theorems for ratios from the uniform distribution
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
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]
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
Empirical Likelihood based on Hypothesis Testing [PDF]
AMS classifications: 62G10; 62G20 ...
Einmahl, J.H.J., McKeague, I.W.
core +1 more source
On a Generalized Raised Cosine Distribution: Some Properties, Characterizations and Applications
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

