Mainstream statistical methodology is generally applicable to data observed in Euclidean
space. There are, however, numerous contexts of considerable scientific interest in which …

This paper introduces a multivariate circular–linear (or poly-cylindrical) distribution obtained
by combining the projected and the skew-normal. We show the flexibility of our proposal, its …

We consider a finite mixture model of multivariate Wrapped Normal distributions to handle
non homogeneous circular data on ap-dimensional torus (p≥ 2). The Wrapped Normal …

In this work, we introduce a model for circular data analysis to robustly estimate parameters,
under a longitudinal clustering setting. A hidden Markov model for longitudinal circular data …

In the study of many environmental phenomena, circular statistical analysis and applications
to directional data are crucial. In this paper, we introduce the wrapped XLindley distribution …

We give a unified treatment of constructing families of circular discrete distributions. Some of
these families are deduced from established distributions such as von Mises and wrapped …

Cluster analysis is widely used in data analysis. Statistical data analysis is generally
performed on the linear data. If the data has directional structure, classical statistical …

Wind direction is vital in monitoring the global climate and weather patterns. The nature of
wind direction that is circular makes the data unsuitable to be analysed with regular …