The limit distributions of GL-statistics with kernels which are degenerate, of infinite order, or with estimated parameters are proposed. The underlying invariance principle of ``averaging Kendall's tau on its marginals'' is also proposed. Furthermore, an approach to derive new test statistics from some distances for independence of circular data is proposed. Finally, a unifying theme for many circular rank statistics will be investigated.
