Results 131 to 140 of about 16,146 (162)
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A Measure of Multivariate Kurtosis with Principal Components

Communications in Statistics - Theory and Methods, 2008
Srivastava (1984) defined a measure of multivariate kurtosis and derived its asymptotic distribution for samples from a multivariate normal population. Some new results are obtained by generalizing Srivastava's theorem to an asymptotic expansion up to higher order. Finally, two numerical examples are presented.
openaire   +1 more source

Effect of kurtosis on efficiency of some multivariate medians

Journal of Nonparametric Statistics, 2015
Up to now, various multivariate medians have been proposed. To support their applications, we study the effect of kurtosis on efficiency of some well-known multivariate medians. Results are established for the coordinatewise median, the spatial median, the Oja median, and their modified versions.
Jin Wang, Weihua Zhou
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Measures of multivariate skewness and kurtosis for tests of nonnormality

Statistical Papers, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lütkepohl, H., Theilen, B.
openaire   +2 more sources

Marginal Skewness and Kurtosis in Testing Multivariate Normality

Applied Statistics, 1980
SUMMARY A method is suggested by which marginal third- or fourth-order moments may be combined to produce a statistic to test for multivariate normality.
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Extensions of Pearson’s inequality between skewness and kurtosis to multivariate cases

Statistics & Probability Letters, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Multivariate skewness and kurtosis

Journal of the Korean Data And Information Science Sociaty, 2018
Chong Sun Hong, Jae Hyun Sung
openaire   +1 more source

Multivariate Skewness and Kurtosis for Detecting Wormhole Attack in VANETs

2023
Souad Ajjaj   +3 more
openaire   +1 more source

Toward more robust and reproducible diffusion kurtosis imaging

Magnetic Resonance in Medicine, 2021
Rafael Neto Henriques   +2 more
exaly  

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