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Nonparametric Statistical Methods
, 2010 Nonparametric methods are appropriate when certain assumptions about distributions that common parametric methods make are questionable. In this entry, we review nonparametric statistical tests based on exact or simulated sampling distributions. We also discuss methods for nonparametric data exploration and nonparametric regression and we explain ...
Sijtsma, K., Emons, W.H.M.
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Uniform Consistency for Functional Conditional U-Statistics Using Delta-Sequences
Mathematics, 2022 U-statistics are a fundamental class of statistics derived from modeling quantities of interest characterized by responses from multiple subjects. U-statistics make generalizations the empirical mean of a random variable X to the sum of all k-tuples of X
Salim Bouzebda, Amel Nezzal, Tarek Zari
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Statistical inference for induced L-statistics: a random perturbation approach
, 2009 Suppose that X and Y are two numerical characteristics defined for each individual in a population. In a random sample of (X,Y) with sample size n, denote the rth ordered X variate by Xr:n and the associated Y variate, the induced rth order statistics ...
Leng, C. +5 more
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Nonparametric tests for transition probabilities in nonhomogeneous Markov processes
, 2020 This paper proposes nonparametric two-sample tests for the direct comparison of the probabilities of a particular transition between states of a continuous time non-homogeneous Markov process with a finite state space.
Bakoyannis, Giorgos
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Genetics and Molecular Biology, 2008 Evaluation of performance stability and high yield is essential for yield trials conducted in different environments. We determined the stability of 10 bread wheat (Triticum aestivum L.) genotypes (5 cultivars and 5 advanced lines) using nonparametric ...
Mevlut Akcura, Yuksel Kaya
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Change-Point Tests Based on Integrated Empirical Distribution Functions [PDF]
The Egyptian Statistical Journal, 2004 Three new nonparametric change-point test statistics, based on the integrated empirical function (IEF) are introduced. Properties and distributions of these test statistics are also discussed.
Abd-Elnasser Rabou
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Nonparametric tests of conditional treatment effects [PDF]
, 2009 We develop a general class of nonparametric tests for treatment effects conditional on covariates. We consider a wide spectrum of null and alternative hypotheses regarding conditional treatment effects, including (i) the null hypothesis of the ...
Whang, Yoon-Jae +5 more
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Asymptotically Sufficient Statistics in Nonparametric Regression Experiments with Correlated Noise
Journal of Probability and Statistics, 2009 We find asymptotically sufficient statistics that could help simplify inference in nonparametric regression problems with correlated errors. These statistics are derived from a wavelet decomposition that is used to whiten the noise process and to ...
Andrew V. Carter
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A Class of Enhanced Nonparametric Control Schemes Based on Order Statistics and Runs
Stats, 2023 In this article, we establish a new class of nonparametric Shewhart-type control charts based on order statistics with signaling runs-type rules.
Nikolaos I. Panayiotou +1 more
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Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping
Frontiers in Neuroscience, 2014 Although ultra-high-field fMRI at field strengths of 7T or above provides substantial gains in BOLD contrast-to-noise ratio, when very high-resolution fMRI is required such gains are inevitably reduced.
Johannes eStelzer +8 more
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