Results 11 to 20 of about 1,117,675 (339)
Descriptive statistics and normality tests for statistical data
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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Normality assessment, few paradigms and use cases
Romanian Journal of Laboratory Medicine, 2022 Background: The importance of applying the normality tests is underlined by the way of continuing the statistical protocol for numerical data within inferential statistics, respectively by the parametric or non-parametric tests that we will apply further
Avram Călin, Mărușteri Marius
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Quality Control and Homogeneity Analysis of Precipitation Time Series in the Climatic Region of Iraq
Atmosphere, 2023 Non-climatic reasons, such as station replacement and changing the measurement device and calculation method, may make climate data unrepresentative of the actual variation of the regional climate.
Ruqayah Mohammed, Miklas Scholz
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Quantile-Zone Based Approach to Normality Testing
Mathematics, 2022 Normality testing remains an important issue for researchers, despite many solutions that have been published and in use for a long time. There is a need for testing normality in many areas of research and application, among them in Quality control, or ...
Atif Avdović, Vesna Jevremović
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Sick patient, normal tests [PDF]
QJM, 2009 A 51-year-old physician was found in a taxi unableto tell the driver her address. At the emergencyroom, she was barely able to speak, disorientedand incontinent with mild left hemiparesis. Her his-tory included transient left hemiparesis 8 yearsbefore when primary antiphospholipid syndrome(APS) as well as autoimmune hepatitis andHashimoto’s thyroiditis
A, Schattner +3 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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Neutrosophic D’Agostino Test of Normality: An Application to Water Data
Journal of Mathematics, 2021 The D’Agostino test has been widely applied for testing the normality of the data. The existing D’Agostino test cannot be applied when the data have some indeterminate observations or observations which are obtained from the complex systems.
Mohammed Albassam +2 more
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More on the Supremum Statistic to Test Multivariate Skew-Normality
Computation, 2021 This review is about verifying and generalizing the supremum test statistic developed by Balakrishnan et al. Exhaustive simulation studies are conducted for various dimensions to determine the effect, in terms of empirical size, of the supremum test ...
Timothy Opheim, Anuradha Roy
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UJI KENORMALAN UNIVARIAT: SUATU KAJIAN PUSTAKA
Jurnal Matematika, 2012 Almost all statistical procedures, especially statistical inference, assumed that the sample distribution is normally distributed. This normality assumption must be tested to ensure the correct use of the test statistic, hence resulting a correct ...
I WAYAN SUMARJAYA
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A simple test for normality for time series [PDF]
, 2004 This paper considers testing for normality for correlated data. The proposed test procedure employs the skewness-kurtosis test statistic, but studentized by standard error estimators that are consistent under serial dependence of the observations.
Lobato, Ignacio N., Velasco, Carlos
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