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 (1984), Song (2001), M\uf3ri et al. (1993), Balakrishnan et al. (2007) and Kollo (2008) measures of skewness. The exact expressions of all measures of skewness, except for Song\u2019s, are derived for the family of skew-normal distributions, while Song\u2019s measure of shape is approximated by the use of delta method. The behavior of these measures, their similarities and differences, possible interpretations, and their practical use in testing for multivariate normal are studied by evaluatin...
Most multivariate measures of skewness in the literature measure the overall skewness of a distribut...
One of the extension of the normal distribution is the skewnormal distribution, which, through the v...
One of the extension of the normal distribution is the skewnormal distribution, which, through the v...
AbstractThe main objective of this work is to calculate and compare different measures of multivaria...
Our main objective is the calculation and the comparative study of some general measures of multivar...
AbstractThe main objective of this work is to calculate and compare different measures of multivaria...
In this paper, we consider the multivariate normality test based on measure of multivariate sample s...
For the family of multivariate probability distributions variously denoted as unified skew-normal, c...
An introductory account of the skew-normal distribution in the univariate and in the multivariate ca...
An introductory account of the skew-normal distribution in the univariate and in the multivariate ca...
The assumption of multivariate normality is the basis of the standard methodology of multivariate m...
In multivariate analysis it is generally assumed that the observations are normally distributed. It ...
This paper provides an introductory overview of a portion of distribution theory which is currently ...
One of the extension of the normal distribution is the skewnormal distribution, which, through the v...
This paper studies the asymptotic behavior of a generalization of Mardia's affine invariant measure ...
Most multivariate measures of skewness in the literature measure the overall skewness of a distribut...
One of the extension of the normal distribution is the skewnormal distribution, which, through the v...
One of the extension of the normal distribution is the skewnormal distribution, which, through the v...
AbstractThe main objective of this work is to calculate and compare different measures of multivaria...
Our main objective is the calculation and the comparative study of some general measures of multivar...
AbstractThe main objective of this work is to calculate and compare different measures of multivaria...
In this paper, we consider the multivariate normality test based on measure of multivariate sample s...
For the family of multivariate probability distributions variously denoted as unified skew-normal, c...
An introductory account of the skew-normal distribution in the univariate and in the multivariate ca...
An introductory account of the skew-normal distribution in the univariate and in the multivariate ca...
The assumption of multivariate normality is the basis of the standard methodology of multivariate m...
In multivariate analysis it is generally assumed that the observations are normally distributed. It ...
This paper provides an introductory overview of a portion of distribution theory which is currently ...
One of the extension of the normal distribution is the skewnormal distribution, which, through the v...
This paper studies the asymptotic behavior of a generalization of Mardia's affine invariant measure ...
Most multivariate measures of skewness in the literature measure the overall skewness of a distribut...
One of the extension of the normal distribution is the skewnormal distribution, which, through the v...
One of the extension of the normal distribution is the skewnormal distribution, which, through the v...