We propose the matching between population trigonometric moments and empirical ones in order to estimate a circular density and its derivatives at a point. The method is non-parametric in nature, as the moments are locally weighted and the population density function is locally approximated by a pth degree polynomial.
Circular density estimation via matching local trigonometric moments / Marco Di Marzio, ; Stefania, Fensore; Agnese, Panzera; Taylor, Charles C.. - ELETTRONICO. - (2016), pp. 1-7. (Intervento presentato al convegno SIS 2016_48th scientific meeting of the Italian Statistical Society).
Circular density estimation via matching local trigonometric moments
Agnese Panzera;
2016
Abstract
We propose the matching between population trigonometric moments and empirical ones in order to estimate a circular density and its derivatives at a point. The method is non-parametric in nature, as the moments are locally weighted and the population density function is locally approximated by a pth degree polynomial.
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