G. Geoffrey Vining

Graduate Level

• Applied Statistical Methods
• Design and Analysis of Experiments I
• Statistical Methods for Industrial Practice
• Statistical Methods in Social Research I
• Analysis of Multivariate Data
• Regression Analysis
• Reliability
• Response Surface Design and Analysis I
• Response Surface Design and Analysis II
• Theory of Linear Models
• Structured Process Improvement (Six Sigma)

Undergraduate Level

• Introduction to Statistics I
• Introduction to Statistics I, Honors Section
• Statistics for Business Decisions
• Engineering Statistics
• Regression Analysis
• Design of Experiments
• Mathematical Statistics I
• Mathematical Statistics II
• Industrial Statistics

• Experimental design and analysis for quality improvement
• Response surface methodology
• Statistical process control

Books

• Vining, G.G. (1998).   Statistical Methods for Engineers. Belmont, Ca.:  Duxbury Press.
• Vining, G.G. and Kowalski, S.M.  (2006).  Statistical Methods for Engineers, 2^nd ed., Belmont, Ca.:  Brooks/Cole. (2011) 3^rd ed., Boston, Ma: Brooks/Cole.
• Park, S.H. and Vining, G.G., Editors.  (1999).  Statistical Monitoring and Optimization for Process Control.  New York:  Marcel Dekker.
• Montgomery, D.C., Peck, E.A., and Vining, G.G.  (2001).Introduction to Linear Regression Analysis, 3rd ed.  New York: John Wiley.  (2006) 4^th ed.  (2012) 5^th ed. (in press).
• Myers, R.H., Montgomery, D.C., and Vining, G.G. (2002). Generalized Linear Models with Applications in Engineering and Science, New York: John Wiley.
• Myers, R.H., Montgomery, D.C., Vining, G.G., and Robinson, T.J.  (2011). Generalized Linear Models with Applications in Engineering and Science 2^nd ed., New York: John Wiley.

Papers

• Vining, G.G. and Myers, R.H.  (1990). “Combining Taguchi and Response Surface Philosophies:  A Dual Response Approach,”  Journal of Quality Technology, 22, pp 38-45.
• Khuri, A.I. and Vining, G.G. (1991).  “Conditions Required for the Mean Response to Fall Within Specified Bounds,”   Journal of Statistical Planning and Inference, 28, pp 125-136.
• Vining, G.G. and Myers, R.H. (1991).  “A Graphical Approach for Evaluating Response Surface Designs in Terms of the Mean Squared Error of Prediction,”Technometrics, 33, pp 315-326.
• Myers, R.H., Vining, G.G., Giovannitti-Jensen, A., and Myers, S.L. (1992).  “Variance Dispersion Properties of Second-Order Response Designs,” Journal of Quality Technology, 24, pp 1-11.
• Myers, R.H., Khuri, A.I., and Vining, G.G. (1992).  “Response Surface Alternatives to the Taguchi Approach,” American Statistician, 46, pp 131-139.
• Myers, R.H. and Vining, G.G.  (1992). “Taguchi's Robust Parameter Design,” V.N. Nair, ed. Technometrics, 34, pp 132-135, 144, 148, 159.
• Vining, G.G., Cornell, J.A., and Myers, R.H. (1993).  “A Graphical Approach for Evaluating Mixture Designs,”  Applied Statistics, 42, pp 127-138.
• Vining, G.G. (1993). “A Computer Program for Generating Variance Dispersion Graphs,”   Journal of Quality Technology, 25, 45-60.
• Cornell, J.A., Randles, R.H., and Vining, G.G.  (1995). “Challenges in Teaching Short Courses by an Academic Department:  The University of Florida Experience,”  American Statistician, 49, 195-200.
• Vining, G.G. and Schaub, D. (1996).  “Experimental Designs for Estimating Both Mean and Variance Functions,”   Journal of Quality Technology, 28, 135-147.
• Vining, G.G. and O'Donnell, E.M.  (1997).  “Prediction Properties of the Process Variance Using the Combined Array,”  Frontiers in  Statistical Quality Control, Lenz, H.J and Wilrich, P.T., eds., pp 253-277.
• O'Donnell, E.M. and Vining, G.G.  (1997). “A Mean Squared Error of Prediction Approach to the Analysis of a Combined Array,”  Journal of Applied Statistics, 24, 761-774.
• Vining, G.G. and Reynolds, M.R., Jr.  (1997), “A Multilevel Sampling Interval Approach to Control Charts,”  Journal of Quality Technology, 29, 418-428..
• Vining, G.G. and Bohn, L.  (1998). “Response Surfaces for the Mean and the Process Variance Using a Nonparametric Approach,” Journal of Quality Technology, 30, 282-291.
• Vining, G.G. (1998). “A Compromise Approach to Multiresponse Optimization,” Journal of Quality Technology, 30, 309-313.
• Vining, G.G., Schaub, D., Modigh, C.  (1999). “Experimental Strategies for Estimating Mean and Variance Functions,” Statistical Monitoring and Optimization for Process Control, Park, S.H. andVining, G.G., eds., 291-304.
• Kowalski, S., Cornell, J.A., and Vining, G.G. (2000). “A New Model and Class of Designs for Mixture Experiments with Process Variables,” Communications in Statistics – Theory and Methods, 29, 2255-2280.
• Kowalski, S. and Vining, G.G (2001). “Split-Plot Experimentation for Process and Quality Improvement,” Frontiers in Statistical Quality Control, 6th ed., Lenz, H.J and Wilrich, P.T., eds., pp. 335-350.
• Kowalski, S., Cornell, J.A., and Vining, G.G. (2002). “Mixture Experiments with Process Variables under Restricted Randomization,”  Technometrics, 44, pp. 72-79.
• Myers, R.H., Montgomery, D.C., Vining, G.G., Kowalski, S.K., Borror, C.M. (2004).  “Response Surface Methodology:  A Retrospective and Current Literature Survey,” Journal of Quality Technology, 36, pp. 53-77.
• Montgomery, D.C, Myers, R.H., Carter, W.H., Jr., and Vining, G.G.  (2005). “The Hierarchy Principle in Designed Industrial Experiments,” Quality and Reliability Engineering International, 21, pp. 197-201.
• Vining, G.G., Kowalski, S.M., and Montgomery, D.C.  (2005). “Response Surface Designs within a Split-Plot Structure,” Journal of Quality Technology, 37, pp. 115-129.
• Vining, G.G. and Kowalski, S.M.  (2006). “An Overview of Composite Designs Run as Split-Plots,” Frontiers in Intelligent Statistical Quality Control, 8^th ed., Lenz, H.J. and Wilrich, P.T., eds., pp. 342-351.
• Parker, P.A., Kowalski, S.M., and Vining, G.G.  (2006). “Classes of Split-Plot Response Surface Designs for Equivalent Estimation,” Quality and Reliability Engineering International, 22, pp. 291-305.
• Kowalski, S.M., Vining, G.G., Montgomery, D.C., and Borror, C.M. (2006).  “Modifying a Central Composite Design to Model the Process Mean and Variance when There are Hard-to-Change Factors,” Applied Statistics, 55, pp. 615-630.
• Vining, G.G.  (2007). “Adapting Response Surface Methodology for Computer and Simulation Experiments,” The Grammar of Technology Development, Tsubaki, H., Nishina, K., Yamada, S. eds., pp. 127-134.
• Kowalski, S.M., Parker, P.A., and Vining, G.G. (2007). “Tutorial on Split-Plot Experiments,” Quality Engineering, 19, pp. 1-15.
• Parker, P.A., Kowalski, S.M., and Vining, G.G. (2007). “Construction of Balanced Equivalent Estimation Second-Order Split-Plot Designs,” Technometrics, 49, pp 56-65.
• Parker, P.A., Kowalski, S.M., and Vining, G.G.  (2007).  “Unbalanced and Minimal Point Equivalent Estimation Second-Order Split-Plot Designs,” Journal of Quality Technology, 39, pp. 376-388.
• Vining, G.G. (2008).  “Geoff Vining’s Discussion of ‘Must a Process Be in Statistical Control before Conducting Designed Experiments,” Quality Engineering, 20, pp. 151-153.
• Vining, G.G. and Kowalski, S.M. (2008).  “Exact Inference for Response Surface Designs within a Split-Plot Structure,” Journal of Quality Technology, 40, pp. 394-406.
• Wang, L., Kowalski, S.M., and Vining, G.G.  (2009).  “Orthogonal Blocking of Response Surface Split-Plot Designs,” Journal of Applied Statistics, 36, pp. 303-321.
• Freeman, L.J. and Vining, G.G.  (2010).  “Reliability Data Analysis for Life Test Expermients with Sub-Sampling," Journal of Quality Technology, 42, pp. 233-241.
• Wang, L., Vining, G.G., and Kowalski, S.M.  (2010).  “Two-Strata Rotatability in Split-Plot Central Composite Designs ,” Applied Stochastic Models in Business and Industry, 26, pp. 431-447, (published online 26 June 2009).
• Parker, P.A., Vining, G.G., Wilson, S.A., Szarka, J. L., III, and Johnson, N.G.  (2010).  “Prediction Properties of Classical and Inverse Regression for the Simple Linear Calibration Problem,” Journal of Quality Technology, 42, pp. 332-347.
• Vining, G.G. (2012).  “Split-Plot Response Surface Designs,” Design and Analysis of Experiments, Volume3:  Special Designs and Applications.  New York:  John Wiley and Sons.  Edited by K. Hinkelmann, pp. 471-500.
• Anderson-Cook, C.M. Lu, Lu (editors), Panelists:  Clark, G., DeHart, S.P., Hoerl, R., Jones, B., MacKay, R.J., Montgomery, D., Parker, P.A., Simpson, J., Snee, R., Steiner, S.H., Van Mullekom, J., Vining, G.G, and Wilson, A.G.  (2012) “Statistical Engineering – Forming the Foundations,” Quality Engineering, 24, pp. 110-132.
• Anderson-Cook, C.M. Lu, Lu (editors), Panelists:  Clark, G., DeHart, S.P., Hoerl, R., Jones, B., MacKay, R.J., Montgomery, D., Parker, P.A., Simpson, J., Snee, R., Steiner, S.H., Van Mullekom, J., Vining, G.G, and Wilson, A.G.  (2012) “Statistical Engineering – Roles for Statisticians and the Path Forward,” Quality Engineering, 24, pp. 133-152.
• Freeman, L.J. and Vining, G.G.  (2013).  “Reliability Data Analysis for Life Test Designed Experiments with Sub-Sampling,” Quality and Reliability Engineering International, 29, pp. 504-519.
• Freeman, L.J., Ryan, A.G., Kensler, J.J.K., Dickinson, R.M., and Vining, G.G.  (2013). “A Tutorial on the Planning of Experiments,” Quality Engineering, 25, pp.  315-332.
• Kensler, J.J.K.K., Freeman, L.J., and Vining, G.G. (2014).  “A Practitioner’s Guide to Analyzing Reliability Experiments with Random Blocks and Subsampling,” Quality Engineering, 26, pp. 359-369.
• Dickinson, R.M., Olteanu-Roberts, D.A., Ryan, A.G., Woodall, W.H., and Vining, G.G. (2014) “CUSUM Charts for Monitoring the Characteristic Life of Censored Lifetimes,” Journal of Quality Technology, 46, pp 340-358.
• Vining, G.G., Freeman, L.J., Kensler, J.L.K.  (2014)  “An Overview of Designing Experiments for Reliability Data,” Frontiers in Intelligent Statistical Quality Control, 11^th ed., to appear.
• Kensler, J.J.K.K., Freeman, L.J., and Vining, G.G. (2014).  “Analysis of Reliability Experiments with Random Blocks and Subsampling,” Jouranl of Quality Technology, to appear.