Results 31 to 40 of about 16,146 (162)

Nonparametric multivariate kurtosis and tailweight measures [PDF]

Journal of Nonparametric Statistics, 2005
For nonparametric exploration or description of a distribution, the treatment of location, spread, symmetry, and skewness is followed by characterization of kurtosis. Classical moment-based kurtosis measures the dispersion of a distribution about its ‘shoulders’. Here, we consider quantile-based kurtosis measures. These are robust, defined more widely,
Jin Wang, Robert Serfling
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Sub-dimensional Mardia measures of multivariate skewness and kurtosis

Journal of Multivariate Analysis, 2022
The Mardia measures of multivariate skewness and kurtosis summarize the respective characteristics of a multivariate distribution with two numbers. However, these measures do not reflect the sub-dimensional features of the distribution. Consequently, testing procedures based on these measures may fail to detect skewness or kurtosis present in a sub ...
Joydeep Chowdhury, Subhajit Dutta, Reinaldo Boris Arellano-Valle, Marc G. Genton   +3 more
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Quantitative CT variables enabling response prediction in neoadjuvant therapy with EGFR-TKIs: are they different from those in neoadjuvant concurrent chemoradiotherapy?

PLoS ONE, 2014
Background and purposeTo correlate changes of various CT parameters after the neoadjuvant treatment in patients with lung adenocarcinoma with pathologic responses, focused on their relationship with different therapeutic options, particularly of EGFR-TKI
Yousun Chong, Jae-Hun Kim, Ho Yun Lee, Yong Chan Ahn, Kyung Soo Lee, Myung-Ju Ahn, Jhingook Kim, Young Mog Shim, Joungho Han, Yoon-La Choi   +9 more
doaj   +1 more source

The value of diffusion kurtosis imaging histogram combine with EphA2 grading in glioma grading

Chinese Journal of Contemporary Neurology and Neurosurgery, 2023
Objective To investigate the value of diffusion kurtosis imaging (DKI) histogram combined with Ephrin type⁃A receptor 2 (EphA2) in the evaluation of glioma grading.
LI Jian⁃rui, LIU Xiao⁃xue, XU Qiang, LUO Zhong⁃qiang, LU Guang⁃ming, ZHANG Zhi⁃qiang   +5 more
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Definição do tamanho amostral usando simulação Monte Carlo para o teste de normalidade baseado em assimetria e curtose. II.: abordagem multivariada Sample size definition using Monte Carlo simulation for the normality test based on skewness and kurtosis. II.: multivariate approach

Ciência e Agrotecnologia, 2003
Realizou-se este trabalho com o objetivo de determinar um tamanho amostral ótimo para as estatísticas univariadas de assimetria e curtose (z1 e z2) que, neste caso, foram adaptadas para o caso multivariado, e as estatísticas multivariadas de assimetria e
Andréa Cristiane dos Santos, Daniel Furtado Ferreira   +1 more
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Texture analysis of acute myocardial infarction with CT: First experience study. [PDF]

PLoS ONE, 2017
To investigate the feasibility and accuracy of texture analysis to distinguish through objective and quantitative image information between healthy and infarcted myocardium with computed tomography (CT).Twenty patients (5 females; mean age 56±10years ...
Ricarda Hinzpeter, Matthias W Wagner, Moritz C Wurnig, Burkhardt Seifert, Robert Manka, Hatem Alkadhi   +5 more
doaj   +1 more source

Kurtosis tests for multivariate normality with monotone incomplete data [PDF]

TEST, 2014
We consider the problem of testing multivariate normality when the data consists of a random sample of two-step monotone incomplete observations. We define for such data a generalization of Mardia's statistic for measuring kurtosis, derive the asymptotic non-null distribution of the statistic under certain regularity conditions and against a broad ...
Yamada, Tomoya, Romer, Megan M., Richards, Donald St. P.   +2 more
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A generalized multivariate kurtosis ordering and its applications

Journal of Multivariate Analysis, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jin Wang, Weihua Zhou
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Skewness and kurtosis of multivariate Markov-switching processes

Computational Statistics & Data Analysis, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
FIORENTINI, GABRIELE, Planas, Christophe, Rossi, Alessandro   +2 more
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A method to simulate multivariate outliers with known mahalanobis distances for normal and non-normal data

Methods in Psychology
Monte Carlo simulations and theoretical analyses have repeatedly demonstrated the impact of outliers on statistical analysis. Most simulation studies generate outliers using one of two general approaches: by multiplying an arbitrary point by a constant ...
Oscar L. Olvera Astivia
doaj   +1 more source