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

This book collects important advances in methodology and data analysis for directional
statistics. It is the companion book of the more theoretical treatment presented in Modern …

Presents new and up-dated material on both the underlying theory and the practical
methodology of directional statistics, helping the reader to utilise and develop the …

Modern Directional Statistics collects important advances in methodology and theory for
directional statistics over the last two decades. It provides a detailed overview and analysis …

Directional data is ubiquitious in science. Due to its circular nature such data cannot be
analyzed with commonly used statistical techniques. Despite the rapid development of …

Numerous articles on the theory and practice of directional statistics have appeared since
Mardia's (1975a) survey. This paper aims to present a coherent view of the theory of the …

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 …

Directional data analysis is emerging as an important area of statistics. Within the past two
decades, various new techniques have appeared, mostly to meet the needs of scientific …

This research monograph on circular data analysis covers some recent advances in the
field, besides providing a brief introduction to, and a review of, existing methods and models …

The special nature of circular data means that conventional methods suitable for the
analysis of linear data do not apply. In this article, we survey a range of methods that have …