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The aggregation paradox for statistical rankings and nonparametric tests. [PDF]
PLoS ONE, 2020 The relationship between social choice aggregation rules and non-parametric statistical tests has been established for several cases. An outstanding, general question at this intersection is whether there exists a non-parametric test that is consistent ...
Haikady N Nagaraja, Shane Sanders
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Nonparametric Tests for Differential Histone Enrichment with ChIP-Seq Data [PDF]
Cancer Informatics, 2015 Chromatin immunoprecipitation sequencing (ChIP-seq) is a powerful method for analyzing protein interactions with DNA. It can be applied to identify the binding sites of transcription factors (TFs) and genomic landscape of histone modification marks (HMs).
Qian Wu, Kyoung-Jae Won, Hongzhe Li
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Nonparametric Tests for Exponentiality Against IFRA Alternatives Based on Cumulative Extropy Measures [PDF]
EntropyThis paper develops two nonparametric test statistics for testing exponentiality against alternatives in the increasing failure rate average (IFRA) class.
Anfal A. Alqefari
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Robust multivariate nonparametric tests for detection of two-sample location shift in clinical trials. [PDF]
PLoS ONE, 2018 This article presents and investigates performance of a series of robust multivariate nonparametric tests for detection of location shift between two multivariate samples in randomized controlled trials.
Xuejun Jiang +4 more
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Southwest Respiratory and Critical Care Chronicles, 2014 Shengping Yang, Gilbert Berdine
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Parametric and Nonparametric Tests in Spine Research: Why Do They Matter? [PDF]
Global Spine Journal, 2018 Sarah Hopkins RN, CNOR, CPHQ, NE-BC +2 more
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Nonparametric Tests for Purity of Low Statistics Data [PDF]
EPJ Web of Conferences, 2020 The nonparametric methods are most suitable for tasks facing the uncertainty or complexity of models and the small statistics of the analyzed data. They are irreplaceable in those cases when high tempo of the analysis is required.
Zlokazov Victor B.
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Statistical tests and their application in geodesy [PDF]
Tehnika, 2021 The correct conclusion about the assumptions concerning some phenomena can be obtained only through scientific analysis of statistical data. The scientific procedure of verifying a hypothesis using measurement results is called a statistical test ...
Martinenko Anastasija B. +4 more
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International Journal of Analysis and Applications, 2023 The common parametric statistics used for testing two independent populations have often required the assumptions of normality and equal variances. Nonparametric tests have been used when assumptions of parametric tests cannot be achieved.
Wandee Wanishsakpong +2 more
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NONPARAMETRIC SIGNIFICANCE TESTING [PDF]
Econometric Theory, 2000 A procedure for testing the significance of a subset of explanatory variables in a nonparametric regression is proposed. Our test statistic uses the kernel method. Under the null hypothesis of no effect of the variables under test, we show that our test statistic has an nhp2/2 standard normal limiting distribution, where p2 is the dimension of ...
Lavergne, Pascal, Vuong, Quang H.
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