Results 21 to 30 of about 2,041,133 (244)
A Study of Seven Asymmetric Kernels for the Estimation of Cumulative Distribution Functions
Mathematics, 2021 In this paper, we complement a study recently conducted in a paper of H.A. Mombeni, B. Masouri and M.R. Akhoond by introducing five new asymmetric kernel c.d.f.
Pierre Lafaye de Micheaux +1 more
doaj +1 more source
Bayesian nonparametric estimators derived from conditional Gibbs structures [PDF]
, 2008 We consider discrete nonparametric priors which induce Gibbs-type exchangeable random partitions and investigate their posterior behavior in detail.
PRUENSTER, IGOR +5 more
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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.
openaire +3 more sources
NaRnEA: An Information Theoretic Framework for Gene Set Analysis
Entropy, 2023 Gene sets are being increasingly leveraged to make high-level biological inferences from transcriptomic data; however, existing gene set analysis methods rely on overly conservative, heuristic approaches for quantifying the statistical significance of ...
Aaron T. Griffin +3 more
doaj +1 more source
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. +8 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceWe present a nonparametric statistical test for determining whether an agent is following a given mixed strategy in a repeated strategic-form game given samples of the agent's play.
Sam Ganzfried
doaj +1 more source
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
doaj +1 more source