Circular Statistics In R.

Measurements like mass, length and speed are "linear"; but compass direction or the time of the year are "circular". Circular data have a repeating nature and an arbitrary zero: 12 months after the 1st of July it is the 1st of July again. This book explains how to easily and effectively analyse circular data statistically.

Arthur Pewsey, Associate Professor of Statistics, Mathematics Department, University of Extremadura,Markus Neuhauser, Professor of Statistics, RheinAhrCampus, Koblenz University of Applied Sciences,Graeme D Ruxton, Professor of Ecology, University of St Andrews

Arthur Pewsey is Professor of Statistics at the University of Extremadura, Spain. He has devoted much of the last fifteen years of his life to research in the field of circular statistics. Arthur is Associate Editor of Communications in Statistics: Theory and Methods and Communications in Statistics: Simulation and Computation

Markus Neuhauser is Professor of Statistics at the RheinAhrCampus Remagen, Germany. He is an expert in computer-intensive statistical methods. Markus is Associate Editor of Journal of Statistical Computation and Simulation , Communications in Statistics: Theory and Methods and Communications in Statistics: Simulation and Computation

Graeme D Ruxton is Professor of Ecology at the University of St Andrews. He is a biologist with particular interest in making modern statistical techniques accessible to broad user groups.