The Canadian Journal of Statistics (CJS) Award is presented each year by the Statistical Society of Canada (SSC) to the authors of a contribution to the journal in recognition of the outstanding quality of the paper's methodological innovation and presentation.
The paper entitled “Optimal designs for calibration of orientations” (vol. 35, no 3, pp. 365-380) is the winner of the 2007 CJS Best Paper Award. The award will be presented to the authors, Hwashin Hyun Shin, Glen Takahara and Duncan J. Murdoch, at the SSC Annual Meeting to be held in Ottawa, May 25-29, 2008.
Orientations describe rotations of three-dimensional objects. These are used in virtual reality systems in connection with 3D animation, and in motion-tracking devices studying human motion. In order to calibrate these tools, a statistical model must be used. The winning article discusses efficient ways of conducting experiments to estimate the parameters in such models. This work was motivated by a study of how to reduce back pain in industrial workers.
Dr Shin is a research scientist at Health Canada. Dr Takahara is an Associate Professor in the Department of Mathematics and Statistics at Queen's University, and Dr Murdoch is an Associate Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario.