The authors note that the symbols which appear in the key to Fig. 6 are not the ones used within its panels, and that the scales used on the vertical axes of Figs. 5 and 6 are not the same. The corrected versions of Figs. 5 and 6 are given here. Since the classical test is not the best performing test of symmetry about an unknown value, it is worth comparing our test to the SK-based test by Cabilio and Masaro (1996) and the test of Boos (1982). The results of the simulation study of the test by Cabilio and Masaro are presented in Table 3 and Fig. 7. From the simulations we note that our test T is more powerful than the test SK for the close to Cauchy alternatives (except when n = 20 and a is large). Moreover, for the Cauchy distribution the...
When testing symmetry of a univariate density, (parametric classes of) densities skewed by means of ...
Contains fulltext : 64504.pdf (publisher's version ) (Closed access)Freyd and Tver...
This study deals with testing the hypothesis of univariate symmetry about a known and unknown parame...
A procedure, based on sample spacings, is proposed for testing whether a univariate distribution is ...
The one-sample Wilcoxon signed rank test was originally designed to test for a specified median, und...
[[abstract]]We propose a new test for symmetry about a known center. The test utilizes information o...
It is important to examine the symmetry of an underlying distribution before applying some statistic...
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. Th...
We introduce the characteristic symmetry function, based on the characteristic function of the under...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
When data are nonnormal in form classical procedures for assessing treatment group equality are pron...
When testing symmetry of a univariate density, (parametric classes of) densities skewed by means of ...
We present a modification of a recently proposed test of symmetry about a known center. The new test...
permits unrestricted use, distribution, and reproduction in any medium, provided the original work i...
We propose a modification of the data driven score rank tests studied recently in Inglot et al. 201...
When testing symmetry of a univariate density, (parametric classes of) densities skewed by means of ...
Contains fulltext : 64504.pdf (publisher's version ) (Closed access)Freyd and Tver...
This study deals with testing the hypothesis of univariate symmetry about a known and unknown parame...
A procedure, based on sample spacings, is proposed for testing whether a univariate distribution is ...
The one-sample Wilcoxon signed rank test was originally designed to test for a specified median, und...
[[abstract]]We propose a new test for symmetry about a known center. The test utilizes information o...
It is important to examine the symmetry of an underlying distribution before applying some statistic...
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. Th...
We introduce the characteristic symmetry function, based on the characteristic function of the under...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
When data are nonnormal in form classical procedures for assessing treatment group equality are pron...
When testing symmetry of a univariate density, (parametric classes of) densities skewed by means of ...
We present a modification of a recently proposed test of symmetry about a known center. The new test...
permits unrestricted use, distribution, and reproduction in any medium, provided the original work i...
We propose a modification of the data driven score rank tests studied recently in Inglot et al. 201...
When testing symmetry of a univariate density, (parametric classes of) densities skewed by means of ...
Contains fulltext : 64504.pdf (publisher's version ) (Closed access)Freyd and Tver...
This study deals with testing the hypothesis of univariate symmetry about a known and unknown parame...