Add to ORKGOne of the extension of the normal distribution is the skewnormal distribution, which, through the variations of a shape parameter regulates the skewness of the distribution, allowing a continuous variation from normality to non-normality. This paper introduces a test for the hypothesis of skew-normality in a population and it is based upon the Anderson-Darling goodness-of-fit tes
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
We consider a sequence of i.i.d. random observations from a standard skew-normal distribution with s...
In this paper, we consider the multivariate normality test based on measure of multivariate sample s...
One of the extension of the normal distribution is the skewnormal distribution, which, through the v...
One of the extensions of the normal distribution is the skew-normal distribution, which through the ...
The normal distribution of population is presumtion of many statistical tests. The acceptance of thi...
In many practical applications it has been observed that real data sets are not symmetric. They exhi...
T-test is proposed as a parametric test to evaluate mean of population(s). Therefore, it is assumed...
The main objective of this work is to calculate and compare different measures of multivariate skewn...
A test to assess if a sample comes from a multivariate skew-normal distribution is proposed. The tes...
This work deals with testing a hypothesis on the location parameter (μ) of a skew-normal distributio...
Skew-symmetric (ss) models are semiparametric models for continuous random vectors. Starting with a ...
The skew-normal model is a class of distributions that extends the Gaussian family by including a sk...
AbstractThe main objective of this work is to calculate and compare different measures of multivaria...
In this paper we propose a series of goodness-of-fit tests for the family of skew-normal models when...
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
We consider a sequence of i.i.d. random observations from a standard skew-normal distribution with s...
In this paper, we consider the multivariate normality test based on measure of multivariate sample s...
One of the extension of the normal distribution is the skewnormal distribution, which, through the v...
One of the extensions of the normal distribution is the skew-normal distribution, which through the ...
The normal distribution of population is presumtion of many statistical tests. The acceptance of thi...
In many practical applications it has been observed that real data sets are not symmetric. They exhi...
T-test is proposed as a parametric test to evaluate mean of population(s). Therefore, it is assumed...
The main objective of this work is to calculate and compare different measures of multivariate skewn...
A test to assess if a sample comes from a multivariate skew-normal distribution is proposed. The tes...
This work deals with testing a hypothesis on the location parameter (μ) of a skew-normal distributio...
Skew-symmetric (ss) models are semiparametric models for continuous random vectors. Starting with a ...
The skew-normal model is a class of distributions that extends the Gaussian family by including a sk...
AbstractThe main objective of this work is to calculate and compare different measures of multivaria...
In this paper we propose a series of goodness-of-fit tests for the family of skew-normal models when...
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
We consider a sequence of i.i.d. random observations from a standard skew-normal distribution with s...
In this paper, we consider the multivariate normality test based on measure of multivariate sample s...