A distribution-free test is proposed for the symmetry of a continuous distribution about a specified median. The test is based on a longest run statistic on the upper portion of the sequence of ordered �centred� observations in magnitude. The probability distribution of the longest run statistic is derived, and a computationally simple and accurate approximation of the right-tail probabilities of this statistic is given. This approximation is based on a partial fraction expansion of the corresponding generating function and is derived for use with large samples. The powers of the proposed test, some variations of the test, and other rival tests are investigated under a wide variety of asymmetric alternatives. Simulations indicate that the p...
A conditionally distribution-free test of bivariate symmetry based on the sample dis-tribution funct...
McWilliams (1990, Journal of the American Statistical Association, 85, 1130-1133) introduced a nonpa...
The assumption of the symmetry of the underlying distribution is important to many statistical infer...
We propose a trimmed runs test for the hypothesis of symmetry with one sided alternative, in samples...
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...
Most statistical inferences, which are essential for decision making and research in the area of bio...
It is important to examine the symmetry of an underlying distribution before applying some statistic...
Optimal ranked set sample design for distribution-free runs test of symmetry is introduced. Our inve...
We propose new data driven score rank tests for univariate symmetry about an unknown center. We con...
. Testing symmetry of a univariate distribution has been received much attention. Aki (1993) propose...
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 ...
We derive nonparametric tests of symmetry using asymmetric kernels with either vanishing or fixed ba...
We present a modification of a recently proposed test of symmetry about a known center. The new test...
A conditionally distribution-free test of bivariate symmetry based on the sample dis-tribution funct...
McWilliams (1990, Journal of the American Statistical Association, 85, 1130-1133) introduced a nonpa...
The assumption of the symmetry of the underlying distribution is important to many statistical infer...
We propose a trimmed runs test for the hypothesis of symmetry with one sided alternative, in samples...
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...
Most statistical inferences, which are essential for decision making and research in the area of bio...
It is important to examine the symmetry of an underlying distribution before applying some statistic...
Optimal ranked set sample design for distribution-free runs test of symmetry is introduced. Our inve...
We propose new data driven score rank tests for univariate symmetry about an unknown center. We con...
. Testing symmetry of a univariate distribution has been received much attention. Aki (1993) propose...
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 ...
We derive nonparametric tests of symmetry using asymmetric kernels with either vanishing or fixed ba...
We present a modification of a recently proposed test of symmetry about a known center. The new test...
A conditionally distribution-free test of bivariate symmetry based on the sample dis-tribution funct...
McWilliams (1990, Journal of the American Statistical Association, 85, 1130-1133) introduced a nonpa...
The assumption of the symmetry of the underlying distribution is important to many statistical infer...