A Test of the Multivariate Normality Based on Likelihood Functions |
Yeo, In-Kwon (Division of Mathematics and Statistical Informatics, Chonbuk National University) |
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2 |
An Omnibus Test of Normality for Moderate and Large Sample Sizes
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DOI ScienceOn |
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Omnibus test contours for departures from normality based on <TEX>$\sqrt{b_1}$</TEX> and <TEX>$b_2$</TEX>.
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On the Maximized Likelihood Function
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7 |
An Approximate Analysis of Variance Test for Normality
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DOI ScienceOn |
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An Empirical study of some tests for multivariate normality
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Simulated Power Functions
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DOI ScienceOn |
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Tests for departures from normality. Empirical results for the distributions of <TEX>$b_2$</TEX>and <TEX>$\sqrt{b_1}$</TEX>.
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11 |
A New Family of Power Transformations to Improve Normality or Symmetry
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DOI ScienceOn |
12 |
An Approximate Analysis of Variance Test for Non-normality Suitable for Machine Calculation
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DOI ScienceOn |
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An Analysis of Transformations
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14 |
An Analysis of Variance Test for Normality (Complete Samples)
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DOI |
15 |
On Tests for Multivariate Normality
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DOI ScienceOn |
16 |
Augmenting Shapiro-Wilk Test for Normality Contributions to Applied Statistics
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An Alternative Family of Transformations
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DOI ScienceOn |
18 |
Measures of Multivariate Skewness and Kurtosis with Applications
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DOI ScienceOn |