We consider a metric entropy capable of detecting deviations from symmetry. A consistent test statistic is constructed from an integrated normed di®erence between two density functions estimated using ker- nel methods. The null distribution (symmetry) is obtained by resam- pling from an arti¯cially lengthened series constructed from a rotation of the original series about its mean (median, mode). Simulations demonstrate that the test has correct level and power in the direc- tion of interesting alternatives, while applications to updated Nelson & Plosser (1982) data demonstrate its potential power gains relative to existing tests.
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
This paper proposes a simple consistent nonparametric test of multivariate conditional symmetry base...
We derive nonparametric tests of symmetry using asymmetric kernels with either vanishing or fixed ba...
We describe new functionality in the R (R Development Core Team (2010)) package np (Hayfield and Rac...
A procedure, based on sample spacings, is proposed for testing whether a univariate distribution is ...
We propose several measures, functional and scalar, for asymmetry of distributions by comparing the ...
Many statistical tests commonly used in practice assume that the distribution of the random observat...
In this paper, we test for asymmetric behaviour of industrial and residential electricity demand for...
<p>In this paper, we propose a general <i>k</i>th correlation coefficient between the density functi...
When data are nonnormal in form classical procedures for assessing treatment group equality are pron...
Since many macroeconomic models are linear, it is not desirable to use them with an asymmetric depen...
In this paper we test for asymmetric behaviour of business cycles for the G7 countries, using the en...
We propose a test for symmetry of a regression function with a bivariate predictor based on the L_2 ...
Abstract In this paper, we investigate the properties of some common tests for Asymmetry. The tests ...
When data are nonnormal in form classical procedures for assessing treatment group equality are pron...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
This paper proposes a simple consistent nonparametric test of multivariate conditional symmetry base...
We derive nonparametric tests of symmetry using asymmetric kernels with either vanishing or fixed ba...
We describe new functionality in the R (R Development Core Team (2010)) package np (Hayfield and Rac...
A procedure, based on sample spacings, is proposed for testing whether a univariate distribution is ...
We propose several measures, functional and scalar, for asymmetry of distributions by comparing the ...
Many statistical tests commonly used in practice assume that the distribution of the random observat...
In this paper, we test for asymmetric behaviour of industrial and residential electricity demand for...
<p>In this paper, we propose a general <i>k</i>th correlation coefficient between the density functi...
When data are nonnormal in form classical procedures for assessing treatment group equality are pron...
Since many macroeconomic models are linear, it is not desirable to use them with an asymmetric depen...
In this paper we test for asymmetric behaviour of business cycles for the G7 countries, using the en...
We propose a test for symmetry of a regression function with a bivariate predictor based on the L_2 ...
Abstract In this paper, we investigate the properties of some common tests for Asymmetry. The tests ...
When data are nonnormal in form classical procedures for assessing treatment group equality are pron...
Being able to formally test for symmetry hypotheses is an important topic in many fields, including ...
This paper proposes a simple consistent nonparametric test of multivariate conditional symmetry base...
We derive nonparametric tests of symmetry using asymmetric kernels with either vanishing or fixed ba...