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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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More about the basic assumptions of t-test: normality and sample size [PDF]
Korean Journal of Anesthesiology, 2019 Most parametric tests start with the basic assumption on the distribution of populations. The conditions required to conduct the t-test include the measured values in ratio scale or interval scale, simple random extraction, normal distribution of data ...
Tae Kyun Kim, Jae Hong Park
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Omnibus test for normality based on the Edgeworth expansion.
PLoS ONE, 2020 Statistical inference in the form of hypothesis tests and confidence intervals often assumes that the underlying distribution is normal. Similarly, many signal processing techniques rely on the assumption that a stationary time series is normal.
Agnieszka Wyłomańska +2 more
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Test and asymptotic normality for mixed bivariate measure
Statistica, 2013 Consider a pair of random variables whose joint probability measure is the sum of an absolutely continuous measure, a discrete measure and a finite number of absolutely continuous measures on some lines called jum lines.
Rachid Sabre
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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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An Alternative Measures of Moments Skewness Kurtosis and JB Test of Normality
Journal of Statistical Theory and Applications (JSTA), 2021 If we know the statistics of central tendency and dispersion, we still cannot nature a complete design about the distribution. About these measures we should know more information's of skewness and kurtosis, which are enables us to have a design the
Md. Siraj-Ud-Doulah
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The comparison of nonparametric statistical tests for interaction effects in factorial design [PDF]
Decision Science Letters, 2019 Correct application of the classical factorial F-test depends on normality and homogeneity of variance assumptions. If these assumptions are violated the type I error rate will be inflated and power of the test will be decreased.
Ampai Thongteeraparp
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Validating linear restrictions in linear regression models with general error structure [PDF]
, 2006 A new method for testing linear restrictions in linear regression models is suggested. It allows to validate the linear restriction, up to a specified approximation error and with a specified error probability.
Czado, Claudia +2 more
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IMPLEMENTASI BEBERAPA UJI KENORMALAN OMNIBUS DENGAN PERANGKAT LUNAK R
Jurnal Matematika, 2012 An omnibus normality test is a normality test that can give additional information about nonnormality or other deviation from normality through the skewness and the kurtosis coefficients.
I WAYAN SUMARJAYA
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New Graphical Methods and Test Statistics for Testing Composite Normality
Econometrics, 2015 Several graphical methods for testing univariate composite normality from an i.i.d. sample are presented. They are endowed with correct simultaneous error bounds and yield size-correct tests.
Marc S. Paolella
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