Results 21 to 30 of about 128,596 (295)
Pseudo-Ranks: How to Calculate Them Efficiently in R
Journal of Statistical Software, 2020 Many popular nonparametric inferential methods are based on ranks. Among the most commonly used and most famous tests are for example the Wilcoxon-Mann-Whitney test for two independent samples, and the Kruskal-Wallis test for multiple independent groups.
Martin Happ +3 more
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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
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Relationship between sonorheometry parameters and laboratory values in a critical care setting in Italy: a retrospective cohort study [PDF]
Journal of Trauma and Injury, 2023 Purpose This preliminary retrospective cohort study analyzed the relationship between the parameters provided by sonorheometry device Quantra and the coagulation values obtained from standard venous blood samples in patients admitted in intensive care ...
Antonio Romanelli +4 more
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A nonparametric test of exogeneity [PDF]
, 2004 This paper is concerned with inference about a function g that is identified by a conditional moment restriction involving instrumental variables. The function is nonparametric. It satisfies mild regularity conditions but is otherwise unknown. The paper
Richard Blundell +5 more
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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
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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
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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