Results 1 to 10 of about 813,474 (259)

EMPIRICAL DISTRIBUTION FUNCTIONS AND FUNCTIONS OF ORDER STATISTICS FOR MIXING RANDOM VARIABLES

open access: closedJournal of Multivariate Analysis, 1980
AbstractSome fundamental properties of the empirical distribution functions are derived in the case of mixing random variables. These properties are then utilized to study asymptotic normality and strong laws of large numbers for functions of order statistics.
Puri, Madan L., Tran, Lanh T.
semanticscholar   +4 more sources

The empirical distribution function and strong laws for functions of order statistics of uniform spacings

open access: closedJournal of Multivariate Analysis, 1985
For a random sample of size N from a uniform distribution over (0,1), let \(U_{n:N}\) denote the \(n^{th}\) order statistic for \(1\leq n\leq N\). Define \(U_{0:N}=0\) and \(U_{n:N}=1+U_{n-N-1:N}\) for \(n>N\). Then uniform \(m^{th}\) order spacings are given by \(D(m,n,N)=U_{n+m:N}- U_{n:N}\) for \(0\leq n\leq N.\) This paper investigates the ...
Beirlant, Jan, van Zuijlen, M.C.A
semanticscholar   +4 more sources

On Probabilistic Convergence Rates of Symmetric Stochastic Bernstein Polynomials

open access: yesMathematics
This paper analyzes the exponential convergence properties of Symmetric Stochastic Bernstein Polynomials (SSBPs), a novel approximation framework that combines the deterministic precision of classical Bernstein polynomials (BPs) with the adaptive node ...
Shenggang Zhang   +2 more
doaj   +2 more sources

The use of personal weather station observations to improve precipitation estimation and interpolation [PDF]

open access: yesHydrology and Earth System Sciences, 2021
The number of personal weather stations (PWSs) with data available through the internet is increasing gradually in many parts of the world. The purpose of this study is to investigate the applicability of these data for the spatial interpolation of ...
A. Bárdossy, J. Seidel, A. El Hachem
doaj   +1 more source

The Reliability of Numerical Modeling in Remote Sensing Data Analysis [PDF]

open access: yesE3S Web of Conferences, 2020
The article deals with the problem of calculating reliable estimates of empirical distribution functions under conditions of small sample and data uncertainty.
Dobronets Boris, Popova Olga
doaj   +1 more source

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
Arbitrary style transfer (AST) and domain generalization (DG) are important yet challenging visual learning tasks, which can be cast as a feature distribution matching problem.
Yabin Zhang   +4 more
semanticscholar   +1 more source

U-statistics of local sample moments under weak dependence [PDF]

open access: yesLatin American Journal of Probability and Mathematical Statistics, 2023
In this paper, we study the asymptotic distribution of some U-statistics whose entries are functions of empirical moments computed from non-overlapping consecutive blocks of an underlying weakly dependent process.
H. Dehling, D. Giraudo, S. Schmidt
semanticscholar   +1 more source

The odd log-logistic generalized exponential distribution: Application on survival times of chemotherapy patients data [version 3; peer review: 2 approved]

open access: yesF1000Research, 2023
Background The creation of developing new generalized classes of distributions has attracted applied and theoretical statisticians owing to their properties of flexibility. The development of generalized distribution aims to find distribution flexibility
Arnold K. Fulment   +2 more
doaj   +1 more source

Assessing students' knowledge of the concept of science and scientific exploration and its relationship with understanding a physical concept (mass) [PDF]

open access: yesFanāvarī-i āmūzish, 2021
Background and Objective: Today, a positivist one-dimensional view of science, where it considers scientific propositions to be objective, definite, and fixed, is not credible enough, and the interdisciplinary and multidimensional nature of science is ...
N. Basiri, F. Ahmadi, M. Neek-Amal
doaj   +1 more source

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