Richard N. “Herb” McGrath


Position: Professor
Phone: 419-372-8451
Address: 214 Maurer Center

Faculty Spotlight

Industrial statistics is the area of primary expertise of Dr. McGrath. A current research topic is analyzing dispersion effects in designed experiments. This involves determining what factors (and possibly their interactions) impact the variation in the response.

Dr. McGrath brings many years of business experience to the classroom. He worked for AT&T as a quality engineer, corporate trainer and consultant, and quality manager over 12 years. The statistics professor is also active at the local and national levels in the American Society for Quality.

As a corporate trainer and consultant for many years, he found teaching to be very rewarding, so he returned to school for a Ph.D. to teach at the collegiate level. In doing so, he has found BGSU is a perfect place to work because he is expected to do quality research and teaching.

The book he suggests all business students read is called Supercrunchers by Ian Ayres. Dr. McGrath states, “This book gives many examples of how statistical methods such as data mining and ‘analytics’ are used by the business world to gain a competitive advantage.”

The most interesting place he has visited is Spearfish Canyon in the Black Hills of South Dakota.  According to Dr. McGrath, “My grandfather was the mayor of Spearfish way back when and was responsible for having the canyon road built.” Dr. McGrath took his family there a couple of years ago. It had been over 30 years since the last time he visited.


  • Ph.D., Statistics, The Pennsylvania State University, 2000
  • M.S., Statistics (Option in Quality Management), Rutgers University, 1996
  • B.S., Industrial and Management Systems Engineering, The Pennsylvania State University, 1983


  • Associate Dean, Bowling Green State University, 2012-present
  • Professor of Statistics, Bowling Green State University, 2011-present
  • Associate Professor of Statistics, Bowling Green State University, 2005-present
  • 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


  • 2012 Schmidthorst College of Business Faculty Service Award
  • 2004 BGSU CBA Robert A. Patton Scholarly Achievement Award


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.