Richard N. “Herb” McGrath

Dr. McGrath is Chair of the Department of Applied Statistics & Operations Research and Professor of Statistics. Dr. McGrath has published research in several areas of applied statistics, including dispersion (variance) effects, univariate and multivariate control charts, and sample size determination. These publications have appeared in journals such as Technometrics, Journal of Quality Technology, International Journal of Production Research, and The American Statistician. He served the College of Business as Associate Dean from 2012 – 2017. Additionally, he has served in multiple roles for the American Society for Quality (ASQ) Statistics Division including Secretary and Chair as well as Treasurer and Chair of the Toledo Section of the American Society for Quality. He has a Ph.D. in Statistics from Penn State, an M.S. in Statistics from Rutgers University, and a B.S. in Industrial Engineering from Penn State. Prior to obtaining his doctorate and joining BGSU, he worked as a quality engineer, quality manager, and corporate trainer for AT&T.

Education & Experience

EDUCATION

Ph.D., Statistics, The Pennsylvania State University, 2000

M.S., Statistics (with an option in Quality and Productivity) from Rutgers, The State Uni- versity of New Jersey, 1996

B.S., Industrial and Management Systems Engineering, The Pennsylvania State University, 1983

ACADEMIC POSITIONS

Professor of Statistics, Bowling Green State University, 2017 - present

Associate Dean, College of Business Administration, Bowling Green State University, 2012-2017

Professor of Statistics, Bowling Green State University, 2011-2012

Associate Professor of Statistics, Bowling Green State University, 2005-2011

Visiting Associate Professor of Statistics, University of Michigan, 2007-2008

Assistant Professor of Statistics, Bowling Green State University, 2000-2005

Graduate Lecturer, The Pennsylvania State University, 1997-2000

Graduate Assistant, The Pennsylvania State University, 1996-1997

Instructor/Course Developer, AT&T, 1988-1995

Areas of Expertise

Applied Statistics
Industrial Statistics
Business Analytics
Analysis of unreplicated designed experiments
Dispersion effects
Statistical process control
Generalized linear models for joint estimation of location and dispersion effects

Research

SELECTED PUBLICATIONS

Buskirk, T. D., Blakely, B., Eck, A., McGrath, R. N., Singh, R., & Yu, Y. (2022). Sweet Tweets! Evaluating a New Approach for Probability-Based Sampling of Twitter. EPJ Data Science.

McGrath, R. N., & Kadour, B. (2020). Powerful and Robust Dispersion Contrasts for Orthogonal Designs. Journal of Quality Technology. https://doi.org/10.1080/00224065.2021.1991250

McGrath, R. N. and Chen, Q. (2008) “Sample Size Determination for a Relative Quality Improvement,” Quality Engineering, 20, 309-320.

Yeh, A. B., McGrath, R. N., Sembower, M. A., and Shen, Q. (2008) “EWMA Control Charts for Monitoring High-Yield Processes Based on Non-transformed Observations,” International Journal of Production Research, 46, 5679-5699.

McGrath, R. N. (2007) “Generalized Linear Models”, in Encyclopedia of Statistics in Quality and Reliability, Ruggeri, F., Kenett, R. and Faltin, F. W. (eds). John Wiley & Sons Ltd, Chichester, UK, pp 733-743.

McGrath, R. N. and Lin, D. K. J. (2007) “Aliasing in Fractional Designs”,Encyclopedia of Statistics in Quality and Reliability, in Encyclopedia of Statistics in Quality and Reliability, Ruggeri, F., Kenett, R. and Faltin, F. W. (eds). John Wiley & Sons Ltd, Chichester, UK, pp 95-100.

Yeh, A. B., Lin, D. K. J., and McGrath, R. N. (2006) “Multivariate Control Charts for Monitoring Covariance Matrix: A Review,” Quality Technology and Quantitative Management, 3, 415-436.

McGrath, R.N. and Yeh, A. B. (2005). "A Quick, Compact Two-Sample Dispersion Test: Count Five", The American Statistician, 59, pp. 47-53.

Updated: 05/22/2023 11:42AM