The analysis of circular data has been recently the focus of a wide range of literature, with
the general objective of providing reliable parameter estimates in the presence of …

A regression model for correlated circular data is proposed by assuming that samples of
angular measurements are drawn from a multivariate von Mises distribution with mean and …

In many environmental and agricultural studies, data are collected on both linear and
circular random variables, with possible dependence between the variables. Classically, the …

Circular or angular variables indicating direction or cyclical time can be of great interest to
scientists studying ecology, biology or environmental issues. A common problem of interest …

We introduce a new approach to a linear-circular regression problem that relates multiple
linear predictors to a circular response. We follow a modelling approach of a wrapped …

Many studies in biology involve data measured on a circular scale. Such data require
different statistical treatment from those measured on linear scales. The most common …

The projected normal distribution is an under-utilized model for explaining directional data.
In particular, the general version provides flexibility, eg, asymmetry and possible bimodality …

Abstract Analysis of circular data is challenging, since the usual statistical methods are
unsuitable and it is necessary to use circular periodic probabilistic models. Because some …

Models for circular data displaying two diametrically opposed modes are considered. A
general construction which can be used to generate such models, founded upon doubling …

We consider problems of inference for the wrapped skew-normal distribution on the circle. A
centered parametrization of the distribution is introduced, and simulation used to compare …