We introduce a four-parameter extended family of distributions related to the wrapped Cauchy distribution on the circle. The proposed family can be derived by altering the settings of a problem in Brownian motion which generates the wrapped Cauchy. The densities of this family have a closed form and can be symmetric or asymmetric depending on the choice of the parameters. Trigonometric moments are available, and they are shown to have a simple form. Further tractable properties of the model are obtained, many by utilising the trigonometric moments. Other topics related to the model, including alternative derivations and Möbius transformation are considered. Discussion of the symmetric submodels is given. Finally, generalisation to a family ...
Advanced calculus is necessary to prove rigorously the main properties of the Cauchy distribution. I...
The circular kernel density estimator, with the wrapped Cauchy kernel, is derived from the empirical...
This dissertation focuses mainly on directional data in two dimensions, called ``circular data," bec...
We propose a family of four-parameter distributions on the circle that contains the von Mises and wr...
Abstract: We discuss circular distributions obtained by wrapping the classical expo-nential and Lapl...
This article presents a class of four-parameter distributions for circular data that are unimodal, p...
We propose a new family of circular distributions, obtained by wrapping geometric distribution on Z+...
We show that the operations of mixing and wrapping linear distributionsaround a unit circle commute,...
We show that the operations of mixing and wrapping linear distributionsaround a unit circle commute,...
This paper considers the three-parameter family of symmetric unimodal distributions obtained by wrap...
Most of the tractable distributions currently available for modeling circular data are symmetric aro...
Many popular circular distributions, including the most commonly used von Mises distribution, are ty...
Most of the tractable distributions currently available for modeling circular data are symmetric aro...
We give a unified treatment of constructing families of circular discrete distributions. Some of the...
Advanced calculus is necessary to prove rigorously the main properties of the Cauchy distribution. I...
Advanced calculus is necessary to prove rigorously the main properties of the Cauchy distribution. I...
The circular kernel density estimator, with the wrapped Cauchy kernel, is derived from the empirical...
This dissertation focuses mainly on directional data in two dimensions, called ``circular data," bec...
We propose a family of four-parameter distributions on the circle that contains the von Mises and wr...
Abstract: We discuss circular distributions obtained by wrapping the classical expo-nential and Lapl...
This article presents a class of four-parameter distributions for circular data that are unimodal, p...
We propose a new family of circular distributions, obtained by wrapping geometric distribution on Z+...
We show that the operations of mixing and wrapping linear distributionsaround a unit circle commute,...
We show that the operations of mixing and wrapping linear distributionsaround a unit circle commute,...
This paper considers the three-parameter family of symmetric unimodal distributions obtained by wrap...
Most of the tractable distributions currently available for modeling circular data are symmetric aro...
Many popular circular distributions, including the most commonly used von Mises distribution, are ty...
Most of the tractable distributions currently available for modeling circular data are symmetric aro...
We give a unified treatment of constructing families of circular discrete distributions. Some of the...
Advanced calculus is necessary to prove rigorously the main properties of the Cauchy distribution. I...
Advanced calculus is necessary to prove rigorously the main properties of the Cauchy distribution. I...
The circular kernel density estimator, with the wrapped Cauchy kernel, is derived from the empirical...
This dissertation focuses mainly on directional data in two dimensions, called ``circular data," bec...