Results 21 to 30 of about 116,618 (260)
R/S method application in neurological speech disorders analyses [PDF]
Компьютерные исследования и моделирование, 2014 Based on modified rescaled range scale computation algorithm, the technique of Hurst exponent and its characteristic time estimation is proposed. The approach of increase the accuracy and simplification automatic Hurst exponent calculation is developed ...
Nikolay Petrovich Kuzenkov +1 more
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NeuroImage: Clinical, 2014 Multivariate classification is used in neuroimaging studies to infer brain activation or in medical applications to infer diagnosis. Their results are often assessed through either a binomial or a permutation test.
Quentin Noirhomme +8 more
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Permutation Tests for Regression, ANOVA, and Comparison of Signals: The permuco Package
Journal of Statistical Software, 2021 Recent methodological researches produced permutation methods to test parameters in presence of nuisance variables in linear models or repeated measures ANOVA. Permutation tests are also particularly useful to overcome the multiple comparisons problem as
Jaromil Frossard, Olivier Renaud
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Frontiers in Physiology, 2022 Statistical network analyses have become popular in many scientific disciplines, where an important task is to test for differences between two networks. We describe an overall framework for differential network testing procedures that vary regarding (1)
Roman Schefzik +9 more
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A statistical test of independence in choice data with small samples
Judgment and Decision Making, 2012 This paper develops tests of independence and stationarity in choice data collected with small samples. The method builds on the approach of Smith and Batchelder (2008).
Michael H. Birnbaum
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Un algorithme efficace pour la comparaison de deux moyennes indépendantes par combinatoire exhaustive; Highly efficient algorithms for the exact randomization test of the difference between two independent means [PDF]
Tutorials in Quantitative Methods for Psychology, 2012 Exact randomization tests in their naïve implementation impose a computation burden that makes them generally prohibitive, forcing the researcher to choose between approximate (i.e.
Pierre Ferland, Louis Laurencelle
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BuildingsTraditional data-driven approaches emphasize input–output correlations and neglect dependencies among inputs, risking missed insights into key drivers of energy performance.
Han-Gyeong Chu, Hye-Gi Kim, Deuk-Woo Kim
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Nonparametric Inference for Multivariate Data: The R Package npmv
Journal of Statistical Software, 2017 We introduce the R package npmv that performs nonparametric inference for the comparison of multivariate data samples and provides the results in easy-to-understand, but statistically correct, language.
Woodrow W. Burchett +3 more
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eQTLMAPT: Fast and Accurate eQTL Mediation Analysis With Efficient Permutation Testing Approaches
Frontiers in Genetics, 2020 Expression quantitative trait locus (eQTL) analyses are critical in understanding the complex functional regulatory natures of genetic variation and have been widely used in the interpretation of disease-associated variants identified by genome-wide ...
Tao Wang +6 more
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Permutation-based methods for mediation analysis in studies with small sample sizes [PDF]
PeerJ, 2020 Background Mediation analysis can be used to evaluate the effect of an exposure on an outcome acting through an intermediate variable or mediator. For studies with small sample sizes, permutation testing may be useful in evaluating the indirect effect (i.
Miranda E. Kroehl +2 more
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