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Testing for normality with neural networks [PDF]
Neural Computing and Applications, 2021 In this paper, we treat the problem of testing for normality as a binary classification problem and construct a feedforward neural network that can successfully detect normal distributions by inspecting small samples from them. The numerical experiments conducted on small samples with no more than 100 elements indicated that the neural network which we
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Normality tests: a study of residuals obtained on time series tendency modeling
Exacta, 2023 The normality analysis in the distribution of residuals is a determining criterion to verify and validate a model. For example, in modeling financial time series by linear regression, the residuals should be independent of each other, identically ...
Fabian Corrêa Cardoso +4 more
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Testing normality: a GMM approach [PDF]
Journal of Econometrics, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bontemps, Christian, Meddahi, Nour
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Comparison of power of modified Jarque-Bera normality tests and selected tests of normality
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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An Extensive Comparisons of 50 Univariate Goodness-of-fit Tests for Normality
Austrian Journal of Statistics, 2022 The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. Given the importance of this subject and the widespread development of normality tests, comprehensive ...
Stanislaus S. Uyanto
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Comparison of normality test methods for some soil properties in the arid land of South Khorasan. [PDF]
Desert, 2023 Statistical assumptions are the basis of many univariate and multivariate statistical tests. Normality is the most basic assumption of multivariate analysis in plant ecology.
M. Rostampour, F. Azarmi-Atajan
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The Key Indicators of the Normality of Distribution
Inovacije u Nastavi, 2020 Statistics plays an important role in describing the results of various research. The basic role of statistical reasoning is to enable generalizations valid for the entire population to be made on the basis of certain quantitative characteristics of the ...
Zoran Č. Vidović +1 more
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Tests Based on Kurtosis for Multivariate Normality
Austrian Journal of Statistics, 2019 In this paper, we first transform a multivariate normal random vector into a random vector with elements that are approximately independent standard normal random variables.
Danush Kanchana Wijekularathna +2 more
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On normality assumptions for claims in insurance
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2009 The aim of this paper is to discuss effects of deviations from hypothetized normality. Two models are considered, one is the first pension pillar (and we consider here very small samples, which plays some role at start of some pension system or at early ...
Milan Stehlík, Luboš Střelec
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A New Goodness of Fit Test for Multivariate Normality and Comparative Simulation Study
Mathematics, 2021 The testing of multivariate normality remains a significant scientific problem. Although it is being extensively researched, it is still unclear how to choose the best test based on the sample size, variance, covariance matrix and others.
Jurgita Arnastauskaitė +2 more
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