With the Faculty since 1991, Tak Mak obtained his BSc degree in Mathematics from the Chinese University of Hong Kong. He also holds an MA in Mathematics from York University and a PhD in Statistics from the University of Western Ontario. Prior to joining Concordia University, he taught at the Hong Kong Polytechnic, the University of Hong Kong and the Memorial University of Newfoundland.
He teaches statistical models for business research, survey design and analysis, measurement error models and multivariate analysis. His research focuses on statistical methods using the Bootstrap, heteroscedastic regression models, analysis of survey data, statistical quality control.
Results published in different areas, including errors-in-variables, interclass and intraclass correlations, ranked data, analyses of misclassified data, regression models, statistical computing, time series analysis, survey sampling, and statistical quality control. He had served as an Associate Editor of the Canadian Journal of Statistics and was an elected member of ISI. He was appointed by NSERC as a committee member of the Statistics Grant Selection Committee for the period September 1994 to May 1997.
Education
PhD (University of Western Ontario)
Areas of expertise
- Analysis of misclassified data
- Interclass correlations
- Intraclass correlations in dichotomous data
- Off-line quality control
- Ranked data
- Regression analysis and survey sampling
- Statistics including errors-in-variables
