ABE Toshihiro
Faculty of Economics　Department of Economics
Professor

• Researchmap URL

  https://researchmap.jp/abet

• Profile

  Directional data arise when one or more of the variables being observed is angular, and occur in fields as diverse as astronomy, ecology, medicine and the environmental sciences. Examples include the flight directions of migrating birds, the directions of wind or ocean currents, and the directions of fault lines in geological bedrock. When just one angle is measured the resulting angular variable is referred to as being ``circular"; it being possible to represent each observation as a point on the circumference of the unit circle. In general, it is crucial that directional data are analyzed as such and not employing the statistical techniques designed for linear data (observed on the real line or throughout real space). ``Directional statistics" deals with the methodology for analyzing directional data in general, whereas the term ``circular statistics" is employed when the data are, more specifically, circular. Circular distributions arise as putative models for circular data, and numerous families of circular distributions have been proposed in the literature.
  
  
  Now I'm studying Directional Statsitcs and am interested in robust statistics, multivariate analysis information geometry and copula.