Asymptotic normality of two symmetry test statistics based on the L1-error

In this paper, we propose two new tests to test the symmetry of a distribution. These tests are built up on the asymptotic normality of the L1-distance to the symmetry of the Kernel and histogram density estimates. A simulation study is carried out to evaluate performances of the kernel based test.