Results 11 to 20 of about 846,521 (198)
t-tests, non-parametric tests, and large studies—a paradox of statistical practice? [PDF]
BMC Medical Research Methodology, 2012 Background During the last 30 years, the median sample size of research studies published in high-impact medical journals has increased manyfold, while the use of non-parametric tests has increased at the expense of t-tests.
Fagerland Morten W
doaj +2 more sources
Mining for gene-environment and gene-gene interactions: parametric and non-parametric tests for detecting variance quantitative trait loci [PDF]
Frontiers in GeneticsIntroductionDetection of variance quantitative trait loci (vQTL) can facilitate the discovery of gene-environment (GxE) and gene-gene interactions (GxG). Identifying vQTLs before direct GxE and GxG analyses can considerably reduce the number of tests and
Wan-Yu Lin, Wan-Yu Lin
doaj +2 more sources
Robust and adaptive non-parametric tests for detecting general distributional shifts in gene expression [PDF]
Cell Reports: MethodsSummary: Differential expression analysis is crucial in genomics, yet most methods focus only on mean shifts. Variance shifts in gene expression—especially in cellular signaling and aging—are increasingly recognized as being biologically important.
Fanding Zhou +4 more
doaj +2 more sources
Southwest Respiratory and Critical Care Chronicles, 2014 Shengping Yang, Gilbert Berdine
doaj +5 more sources
Decision Maker’s Tool: Statistics, the Problem Solver [PDF]
Westcliff International Journal of Applied Research, 2018 The primary objective of every investor is to see how his money grows. No matter where one decides to plant or invest his money, there is an inevitable process that follows.
Faith Cajudo Orillaza
doaj +1 more source
Revista Ciência Agronômica, 2021 In experimental statistics, the variability, which allows for conclusions related to experimental accuracy, is usually demonstrated by means of experimental coefficient of variation (CV).
Beatriz Garcia Lopes +7 more
doaj +1 more source
La somme des rangs de Wilcoxon, ses moments, sa distribution nulle,avec illustration et compléments [PDF]
Tutorials in Quantitative Methods for Psychology, 2020 This paper delves into Wilcoxon's sum-of-ranks $R$ statistic (and Mann-Whitney's translated equivalent $U$) for testing the difference between two groups.
Laurencelle, Louis
doaj +1 more source
SoftwareX, 2022 Cluster-based permutation tests are widely used in neuroscience studies for the analysis of high-dimensional electroencephalography (EEG) and event-related potential (ERP) data as it may address the multiple comparison problem without reducing the ...
Diego Candia-Rivera, Gaetano Valenza
doaj +1 more source
Unexpected failures of recommended tests in basic statistical analyses of ecological data [PDF]
Web Ecology, 2008 Ecologists, when analyzing the output of simple experiments, often have to compare statistical samples that simultaneously are of uneven size, unequal variance and distribute non-normally.
Z. Kikvidze, J. Moya-Laraño
doaj +1 more source
Precipitation trends in the Gambia River Basin (Senegal) for the period 1971-2010 [PDF]
Glasnik Srpskog Geografskog Društva, 2018 Since the 1970s, West African streams experienced profound modifications connected to pluviometric deficit, which have influenced on a strong decrease of water resources.
Faye Cheikh
doaj +1 more source