Smooth estimation of circular cumulative distribution functions and quantiles

Smooth nonparametric estimators based on a kernel method are proposed for cumulative distribution functions and quantiles of circular data. A sound motivation for this is that although for euclidean data similar estimators have been widely studied, for circular data nothing similar seems to exist; albeit, remarkably, in the circular-setting local methods are implemented more easily because of the absence of boundaries on the circle.