Models for discrete circular data with temporal dependence

We describe one useful discrete probability distribution for circular data, along with suggesting test procedures for the parameters of the model. An application used as a starting point is research on bird orientation behaviour, where data were measured as counts in a number of sectors of a circle. Further, we look at how time dependence can be incorporated in such a model.