Omnibus tests for central symmetry of a bivariate probability distribution are proposed. The test statistics compare empirical measures of opposite regions. Under rather weak conditions, we establish the asymptotic distribution of the test statistics under the null hypothesis; it follows that they are asymptotically distribution-free. After a simple transformation of the data, tests for central symmetry can also be employed for testing exchangeability. In a simulation study the good finite sample performance of the test procedures is shown
. Testing symmetry of a univariate distribution has been received much attention. Aki (1993) propose...
This paper proposes a simple consistent nonparametric test of multivariate conditional symmetry base...
Symmetry is one of the most fundamental of dividing hypotheses, its rejection, or not, heavily influ...
McWilliams (1990, Journal of the American Statistical Association, 85, 1130-1133) introduced a nonpa...
Ahmad and Cerrito (1991) have proposed two definitions of bivariate symmetry, however; neither of th...
Simple tests of diagonal symmetry for bivariate distributions are proposed. The asymptotic null dist...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
Simple test of diagonal symmetry for bivariate distributions are proposed and intended for non-stati...
A conditionally distribution-free test of bivariate symmetry based on the sample dis-tribution funct...
We introduce the characteristic symmetry function, based on the characteristic function of the under...
A procedure, based on sample spacings, is proposed for testing whether a univariate distribution is ...
The paper presents a permutation procedure for testing reflected (or diagonal) symmetry of the distr...
AbstractThe paper presents a permutation procedure for testing reflected (or diagonal) symmetry of t...
We propose new data driven score rank tests for univariate symmetry about an unknown center. We con...
This paper proposes a simple consistent nonparametric test of conditional symmetry based on the prin...
. Testing symmetry of a univariate distribution has been received much attention. Aki (1993) propose...
This paper proposes a simple consistent nonparametric test of multivariate conditional symmetry base...
Symmetry is one of the most fundamental of dividing hypotheses, its rejection, or not, heavily influ...
McWilliams (1990, Journal of the American Statistical Association, 85, 1130-1133) introduced a nonpa...
Ahmad and Cerrito (1991) have proposed two definitions of bivariate symmetry, however; neither of th...
Simple tests of diagonal symmetry for bivariate distributions are proposed. The asymptotic null dist...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
Simple test of diagonal symmetry for bivariate distributions are proposed and intended for non-stati...
A conditionally distribution-free test of bivariate symmetry based on the sample dis-tribution funct...
We introduce the characteristic symmetry function, based on the characteristic function of the under...
A procedure, based on sample spacings, is proposed for testing whether a univariate distribution is ...
The paper presents a permutation procedure for testing reflected (or diagonal) symmetry of the distr...
AbstractThe paper presents a permutation procedure for testing reflected (or diagonal) symmetry of t...
We propose new data driven score rank tests for univariate symmetry about an unknown center. We con...
This paper proposes a simple consistent nonparametric test of conditional symmetry based on the prin...
. Testing symmetry of a univariate distribution has been received much attention. Aki (1993) propose...
This paper proposes a simple consistent nonparametric test of multivariate conditional symmetry base...
Symmetry is one of the most fundamental of dividing hypotheses, its rejection, or not, heavily influ...