Modern Statistics: A Canadian Perspective, 1st Edition

Dr. William Goodman is an Associate Professor at the University of Ontario Institute of Technology, in the Faculty of Business and Information Technology. He has taught courses in Statistics, Economics, Occupational Health and Safety, and other areas, and published extensively on related subjects—including computer-based Economics simulations, numerous articles, papers, and a statistics textbook. Besides research interests in risk analysis, critical thinking assessment, and survey reliability, he has studied the distribution of incident-outcome severities with respect to industrial and radiological health and safety. During a secondment at Ontario Hydro, Health and Safety Division (1990-1992), he collaborated in research in the areas of health physics and epidemiology, and on the potential hazards of Electromagnetic Field radiation. He also developed the core model for analyzing severe-outcome accidents, which he has refined and applied commercially on data for Ontario Power Generation, Atomic Energy Control Board, Ault Foods, Bruce Nuclear, Health Canada, and the CANDU Owners Group, among others. He has a special interest in the educational applications of computers, and is participating in related studies on this theme for both the Faculty of Business and Information Technology and the Faculty of Health Science. He is also collaborating at UOIT in research for the Centre for the Study of Violence. Prior to joining the university he was Acting Dean of the School of Business, Durham College, where he had previously been a professor. His Masters and PhD were earned from the University of Waterloo, from which he was awarded the Gold Medal for his Masters dissertation. His doctoral-research included focuses on decision theory, knowledge-modeling theory (including Expert Systems and formal logic), and philosophy of education.