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Min-max approach for comparison of univariate normality tests. [PDF]
PLoS ONE, 2021 Comparison of normality tests based on absolute or average powers are bound to give ambiguous results, since these statistics critically depend upon the alternative distribution which cannot be specified. A test which is optimal against a certain type of
Tanweer Ul Islam
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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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Descriptive statistics and normality tests for statistical data [PDF]
Annals of Cardiac Anaesthesia, 2019 Descriptive statistics are an important part of biomedical research which is used to describe the basic features of the data in the study. They provide simple summaries about the sample and the measures.
Prabhaker Mishra +5 more
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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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Normality tests Procedure with power comparison [PDF]
المجلة العلمية للاقتصاد والتجارة, 2022 The condition of normality is required for Standard statistical procedures. the results of these methods will be in. improper when the normality in not satisfied.
Abd-Elwahab Hagag
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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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An Exhaustive Power Comparison of Normality Tests
Mathematics, 2021 A goodness-of-fit test is a frequently used modern statistics tool. However, it is still unclear what the most reliable approach is to check assumptions about data set normality. A particular data set (especially with a small number of observations) only
Jurgita Arnastauskaitė +2 more
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International Journal of Assessment Tools in Education, 2022 This study aims to compare normality tests in different sample sizes in data with normal distribution under different kurtosis and skewness coefficients obtained simulatively.
Süleyman Demir
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Rudarsko-geološko-naftni Zbornik, 2021 The bootstrap method is a nonparametric statistical method that through the resampling of an input data set provides the ability to obtain a new data set that is normally distributed.
Josip Ivšinović, Nikola Litvić
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Hydrology, 2021 Extreme rainfall events have made significant damages to properties, public infrastructure and agriculture in some provinces of South Africa notably in KwaZulu-Natal and Gauteng among others.
Vusi Ntiyiso Masingi, Daniel Maposa
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