Abstract
Circular data is different from linear data and its analysis therefore also requires
methods that are different from the conventional methods. In this paper
the Bayesian embedding approach to estimating circular regression models as presented
in Nu˜nez-Antonio, Guti´errez-Pe˜na, and Escarela (2011) will be investigated,
by means of five simulation studies, in terms of performance,
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