  The technique of wrapping of a univariate probability distribution is very
effective in getting a circular form of the underlying density. In this
article, we introduce the circular (wrapped) version of xgamma distribution and
study its different distributional properties. To estimate the unknown
parameter, maximum likelihood method is proposed. A Monte-Carlo simulation
study is performed to understand the behaviour of the estimates for varying
sample size. To illustrate the application of the proposed distribution, a real
data set on the long axis orientation of feldspar laths in basalt rock is
analyzed and compared with other circular distributions.
