Research interests are in time series analysis and statistical methods for quality improvement. In the time series area, the focus is on building models to business economic and financial data, stochastic volatility, analysis of outliers and missing observations. Dealing with long memory time series is also of interest. In the quality improvement category topics such as dimension reduction methods, multivariate prediction and process control with latent variables, designed experiments, on line control etc. are pursued. Statistical education and implementation of statistical methods in industry are also major interests.
Bovas Abraham is an Honorary Member of the Statistical Society of Canada (SSC) and is Professor Emeritus in the Department of Statistics and Act. Science at the University of Waterloo. He is the founding president of the International Society for Business and Industrial Statistics and is also the founding president of the ‘Business and Industrial Statistics Section’ of the Statistical Society of Canada. Bovas also served as the president of SSC. He was the Director of the Institute for Improvement in Quality and Productivity at the University of Waterloo for nearly ten years.
Bovas has been a faculty member at the University of Waterloo in the Department of Statistics and Actuarial Science since 1977. Bovas received his Bachelor of Science from the University of Kerala in India, his Masters from University of Guelph, Canada and his Ph.D. from the University of Wisconsin, Madison, U.S.A.
Bovas has extensive experience in the academic world as an administrative leader, a scientist, a mentor and an educator. He has been involved in graduate training in Statistics since 1977 teaching graduate courses, and supervising Masters and Ph. D students. He has published extensively in the major statistical journals. Bovas has been involved as a trainer and consultant in a wide range of statistical applications in industry in Canada.
His main areas of interest include Quality Improvement, and the management and implementation of statistical procedures such as Designed Experiments, SPC, and Time Series Analysis. He is co-author of the books “Statistical Methods for Forecasting”, and “Introduction to Regression Modeling”, and the editor of a volume “Quality Improvement through Statistical Methods”.
Bovas is also a recipient of many other awards, a Fellow of the American Society for Quality, a Fellow of the American Statistical Association, a Fellow of the Royal Statistical Society, an Elected Member of the International Statistical Institute. In addition, he holds the Shewhart medal from the American Society for Quality (2014), Service Award from the International Statistical Institute (2007) and the William G. Hunter award from the Statistics Division of the American Society for Quality (2006).
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