RT Generic
T1 Circular Bernstein polynomial distributions
A1 Carnicero, José Antonio
A1 Wiper, Michael Peter
A1 Ausín Olivera, María Concepción
A2 Universidad Carlos III de Madrid. Departamento de Estadística, 
AB This paper introduces a new non-parametric approach to the modeling of circular data, basedon the use of Bernstein polynomial densities which generalizes the standard Bernsteinpolynomial model to account for the specific characteristics of circular data. It is shown that thetrigonometric moments of the proposed circular Bernstein polynomial distribution can all bederived in closed form. We comment on how to fit the Bernstein polynomial densityapproximation to a sample of data and illustrate our approach with a real data example.
YR 2010
FD 2010-05
LK http://hdl.handle.net/10016/8318
UL http://hdl.handle.net/10016/8318
LA eng
DS e-Archivo
RD 28 abr. 2024