Results 1 to 10 of about 1,117,556 (221)
Parametric or Non-parametric: Skewness to Test Normality for Mean Comparison
International Journal of Assessment Tools in Education, 2020 Checking the normality assumption is necessary to decide whether a parametric or non-parametric test needs to be used. Different ways are suggested in literature to use for checking normality. Skewness and kurtosis values are one of them.
Fatih Orcan
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Application of a Hermite-based measure of non-Gaussianity to normality tests and independent component analysis [PDF]
Frontiers in Neuroinformatics, 2023 In the analysis of neural data, measures of non-Gaussianity are generally applied in two ways: as tests of normality for validating model assumptions and as Independent Component Analysis (ICA) contrast functions for separating non-Gaussian signals ...
Parul Jain +4 more
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New fat-tail normality test based on conditional second moments with applications to finance [PDF]
, 2020 In this paper we introduce an efficient fat-tail measurement framework that is based on the conditional second moments. We construct a goodness-of-fit statistic that has a direct interpretation and can be used to assess the impact of fat-tails on central
Jelito, Damian, Pitera, Marcin
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Communications in Statistics - Theory and Methods, 2020 A procedure is proposed here for jointly visualizing the compatibility of a sample with a family of Skewed Exponential Power Distributions, of which the distributions known as Normal, Exponential, Laplace and Uniform are particular cases. The procedure involves constructing a mosaic that contains these distributions in such a way that the asymmetry ...
José A. Sánchez-Espigares +2 more
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Testing for normality in regression models: mistakes abound (but may not matter)
Royal Society Open ScienceThis study examines the misuse of normality tests in linear regression within ecology and biology, focusing on common misconceptions. A bibliometric review found that over 70% of ecology papers and 90% of biology papers incorrectly applied normality ...
Stephen Midway, J. Wilson White
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Comparison of power of modified Jarque-Bera normality tests and selected tests of normality [PDF]
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2008 The aim of this paper is to modify the classical Jarque-Bera test and the robust Jarque-Bera test of normality. We use the median as an estimator instead of the mean in the classical Jarque-Bera test and in the robust Jarque-Bera test.
Luboš Střelec
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Managing the Assumption of Normality within the General Linear Model with Small Samples: Guidelines for Researchers Regarding If, When and How. [PDF]
Tutorials in Quantitative Methods for Psychology, 2023 Academic textbooks, statistical literature, and publication guidelines provide conflicting, ambiguous and often incomplete answers to the question of how researchers should handle the normality assumption for classical general linear model tests when ...
Zygmont, Conrad Stanisław
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Assessing the robustness of normality tests under varying skewness and kurtosis: a practical checklist for public health researchers [PDF]
BMC Medical Research MethodologyBackground Many statistical methods used in public health research, namely t-tests, ANOVA correlation and regression, rely on the assumption of normality. Violation of the normality assumption can severely lead to biased parameter estimates, reduced test
Asha Kamath +2 more
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Ensemble Based Box-Cox Transformation via Meta Analysis
Journal of Advanced Research in Natural and Applied Sciences, 2022 Normal distribution has a vital role for the most of statistical methods. Box-Cox power transformation is the most usually applied method when the distribution of data is not normal.
Osman Dağ, Muhammed Ali Yılmaz
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Fibers, 2022 The ACI 544-2R repeated impact test is known as a low-cost and simple qualitative test to evaluate the impact strength of concrete. However, the test’s main deficiency is the high variability in its results. The effect of steel fibers and the compressive
Ahmmad A. Abbass +3 more
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