Results 11 to 20 of about 685,977 (197)
On a Vector-Valued Measure of Multivariate Skewness [PDF]
Symmetry, 2021 The canonical skewness vector is an analytically simple function of the third-order, standardized moments of a random vector. Statistical applications of this skewness measure include semiparametric modeling, independent component analysis, model-based ...
Nicola Loperfido
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Multivariate Measures of Skewness for the Skew-Normal distribution [PDF]
Journal of Multivariate Analysis, 2012 The main objective of this work is to calculate and compare different measures of multivariate skewness for the skew-normal family of distributions. For this purpose, we consider the Mardia (1970), Malkovich and Afifi (1973), Isogai (1982), Srivastava ...
N. Balakrishnan +4 more
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, 1983 5 pages, 1 article*Multivariate Skewness* (Schwager, Steven J.) 5 ...
Cornell University. Dept. of Biological Statistics and Computational Biology. +3 more
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On Multivariate Skewness and Kurtosis [PDF]
Sankhya A, 2020 AbstractA unified treatment of all currently available cumulant-based indexes of multivariate skewness and kurtosis is provided here, expressing them in terms of the third and fourth-order cumulant vectors respectively. Such a treatment helps reveal many subtle features and inter-connections among the existing indexes as well as some deficiencies ...
Jammalamadaka, Sreenivasa Rao +2 more
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The multivariate skew-normal distribution [PDF]
Biometrika, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
AZZALINI, ADELCHI +1 more
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On the singularity of multivariate skew-symmetric models [PDF]
Journal of Multivariate Analysis, 2010 Using a colloquial style and awkward notation, the authors first solve the problem of characterizing the symmetric kernels leading to singular Fisher information matrices in the vicinity of symmetry for a class of multivariate skew-symmetric distributions.
Christophe Ley, Davy Paindaveine
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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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Signatures of Eurasian heat waves in global Rossby wave spectra [PDF]
Weather and Climate Dynamics, 2022 This paper investigates systematic changes in the global atmospheric circulation statistics during Eurasian heat waves (HWs). The investigation of Rossby wave energy anomalies during HWs is based on the time series of Hough expansion coefficients ...
I. Strigunova +3 more
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Finite Mixtures of Multivariate Skew Laplace Distributions
Revstat Statistical Journal, 2021 This paper proposes finite mixtures of multivariate skew Laplace distributions in order to model both skewness and heavy-tailedness in heterogeneous data sets.
Fatma Zehra Doğru +2 more
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Radiation Oncology, 2023 Background Multiparametric imaging has been seen as a route to improved prediction of chemoradiotherapy treatment outcomes. Four-dimensional volumetric perfusion CT (4D PCT) is useful for whole-organ perfusion measurement, as it reflects the ...
Hirokazu Tsuchiya +6 more
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