Add to ORKGIn this article a semi-parametric class of skew-symmetric distributions is considered. We call this class as Power-Skew-Symmetric (PSS) distributions, being obtained by considering a positive power of a distribution function symmetric about 0. Based on U-statistics we develop two nonparametric tests for symmetry in the PSS class. Performances of the proposed tests are evaluated using efficacy and empirical powe
Most commonly used distributions on the unit hypersphere Sk−1={v∈Rk:v⊤v=1}, k≥2, assume that the dat...
This paper proposes a simple consistent nonparametric test of conditional symmetry based on the prin...
It is important to examine the symmetry of an underlying distribution before applying some statistic...
A procedure, based on sample spacings, is proposed for testing whether a univariate distribution is ...
When testing symmetry of a univariate density, (parametric classes of) densities skewed by means of ...
When testing symmetry of a univariate density, (parametric classes of) densities skewed by means of ...
This study deals with testing the hypothesis of univariate symmetry about a known and unknown parame...
We propose and study a general class of tests for group symmetry of a multivariate distribution, whi...
A very general measure of skewness based on the quantiles is introduced, which includes several well...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
Skew-symmetric (ss) models are semiparametric models for continuous random vectors. Starting with a ...
. Testing symmetry of a univariate distribution has been received much attention. Aki (1993) propose...
The family of skew-symmetric distributions is a wide set of probability density functions obtained b...
The one-sample Wilcoxon signed rank test was originally designed to test for a specified median, und...
This paper proposes a family of multivariate skew-symmetric distributions which is completely genera...
Most commonly used distributions on the unit hypersphere Sk−1={v∈Rk:v⊤v=1}, k≥2, assume that the dat...
This paper proposes a simple consistent nonparametric test of conditional symmetry based on the prin...
It is important to examine the symmetry of an underlying distribution before applying some statistic...
A procedure, based on sample spacings, is proposed for testing whether a univariate distribution is ...
When testing symmetry of a univariate density, (parametric classes of) densities skewed by means of ...
When testing symmetry of a univariate density, (parametric classes of) densities skewed by means of ...
This study deals with testing the hypothesis of univariate symmetry about a known and unknown parame...
We propose and study a general class of tests for group symmetry of a multivariate distribution, whi...
A very general measure of skewness based on the quantiles is introduced, which includes several well...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
Skew-symmetric (ss) models are semiparametric models for continuous random vectors. Starting with a ...
. Testing symmetry of a univariate distribution has been received much attention. Aki (1993) propose...
The family of skew-symmetric distributions is a wide set of probability density functions obtained b...
The one-sample Wilcoxon signed rank test was originally designed to test for a specified median, und...
This paper proposes a family of multivariate skew-symmetric distributions which is completely genera...
Most commonly used distributions on the unit hypersphere Sk−1={v∈Rk:v⊤v=1}, k≥2, assume that the dat...
This paper proposes a simple consistent nonparametric test of conditional symmetry based on the prin...
It is important to examine the symmetry of an underlying distribution before applying some statistic...