John P. Morgan
Professor, 2000
Office: 412 Hutcheson Hall
Phone: (540) 231-9701
Fax: (540) 231-3863
E-mail: jpmorgan@vt.edu
Office Hours:
1:30-2:30, Monday through Thursday, and by appointment
Link to syllabi for all courses.
Research related webpages:
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Preprints (Dr Morgan's and those of colleagues involved in similar work)
Research areas:
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experimental design
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combinatorics
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discrete optimization
Selected Publications:
On the type-I optimality of nearly balanced incomplete block designs with small concurrence range, by J. P. Morgan and S. K. Srivastav (2000). Statistica Sinica 10.
Optimal designs with many blocking factors, by J. P. Morgan and R. A. Bailey (2000). Annals of Statistics 28, 553-577.
Nested balanced incomplete block designs, by J.P. Morgan, D.A. Preece, and D.H. Rees (2001). Discrete Mathematics 231, 351-389.
Constructions for generalized group divisible designs in settings admitting symmetry, by S. K. Srivastav and J. P. Morgan (2001). American Journal of Mathematics and Management Science 21, 69--88.
On the $E$-optimality of truncated block designs, by S. K. Srivastav and J. P. Morgan (2002). Metrika 56, 239--245.
The completely symmetric designs with block size three, by J.P. Morgan and S. K. Srivastav (2002). Journal of Statistical Planning and Inference 106, 101--130
Optimal row-column design for two treatments, by J. P. Morgan and N. Uddin (2003). Journal of Statistical Planning and Inference 115, 603--622.
Optimal design in irregular BIBD settings, by B. Reck and J. P. Morgan (2005). Journal of Statistical Planning and Inference 129, 59--84.
TA training at Virginia Tech: a stepwise progression, by J. B. Birch and J. P. Morgan (2005). American Statistician 59, 14--18.
Grants:
National Science Foundation, "Symmetry and Asymmetry in Experimental Design," 2006-2009.
National Science Foundation, "Block designs: advancing theory and use," 2001-2005.
National Science Foundation, "Topics in simple and complex block design," 1996-2000.
National Science Foundation, "Nested row-column design," 1992-1995.
Courses taught:
Experimental Design, Linear Models, Applied Multivariate, Regression and ANOVA, Categorical Data Analysis, Mathematical Statistics, Engineering Statistics.
Professional Memberships:
Institute of Mathematical Statistics
American Statistical Association
Virginia Academy of Sciences
Institute for Combinatorics and its Applications