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Dr. Paul  Kvam
Dr. Paul Kvam
Professor of Statistics
Mathematical Economics Program Coordinator
Fellow American Statistical Association, 2006
Elected Member International Statistics Institute, 2016
Associate Editor Journal of the American Statistical Association, 2002 - 2011
Associate Editor The American Statistician, 2005 – 2012, 2015 – present
Associate Editor Journal of Quality Technology, 2009 - 2012
Associate Editor Technometrics, 1999 - 2005
Associate Editor IEEE Transactions on Reliability, 1992 - 2000
Associate Editor International Journal of Quality, Statistics & Reliability, 2007 - 2009
Frank Wilcoxan Prize for best application paper appearing in Technometrics, 1997
Professional Experience
Professor, Department of Mathematics & Computer Science, University of Richmond, Richmond, VA (2014-Present)
Professor, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA (1995-2014)
Ph.D. Staff Scientist, Los Alamos National Laboratory, Los Alamos, NM (1991-1995)
Selected Publications

Basic Statistical Tools for Improving Quality (2012), with Chang-Wook Kang, Wiley Press.


“The Price is Right: Analyzing Bidding Behavior on Contestants' Row” (2019) to appear in The American Statistician
“Critical Fault-Detecting Time Evaluation in Software with Discrete Compound Poisson Models” (2019) with M.-H. Shieh and S.-L. Jeng, Journal of Quality Technology
“Demonstrating the Consequences of Quota Sampling in Graduate Student Admissions” (2019) Chance, Vol. 31, No. 5., 11-16
“A Probability Model for Strategic Bidding on the Price is Right” (2018) Decision Analysis, 5 (14), 195-207.
“A Comprehensive Analysis of Team Streakiness in Major League Baseball: 1962-2016” (2017) with Z. Chen, Baseball Research Journal, 46 (2), 112-115.

Bae, Suk Joo, Giang Do, and Paul Kvam. "On Data Depth and the Application of Nonparametric Multivariate Statistical Process Control Charts." Applied Stochastic Models in Business and Industry 32, no. 5 (2016): 660-76. doi:10.1002/asmb.2186.

Mun, Byeong Min, Suk Joo Bae, and Paul H. Kvam. "A Superposed Log-Linear Failure Intensity Model for Repairable Artillery Systems." Journal of Quality Technology 45, no. 1 (January 2013): 100-15.

Sun, Quan, Yanzhen Tang, Jing Feng, and Paul Kvam. "Stress-Lifetime Joint Distribution Model for Performance Degradation Failure." Information: An International Interdisciplinary Journal 15, no. 12 (December 2012): 5839-846.

Repairable artillery system model for bathtub shaped failure intensity” (2013) with S. J. Bae and B. M. Mun, Journal of Quality Technology, 45, 110-115.

“Adjusted Empirical Likelihood Models with Estimating Equations for Accelerated Life Tests” (2011) with J.-C. Lu, N. Wang and D. Chen. Journal of Statistical Planning and Inference, Vol. 141, 140-155.

Electoral voting and population distribution in the United States” (2010), Chance Magazine, Vol. 23, No. 1, 41-47.

“Extending the Skill Test for Disease Diagnosis” with S. C. Lin and J.-C. Lu (2009), Statistics in Medicine, Vol. 29, 798 – 813.

“Length Bias in the Measurements of Carbon Nanotubes” (2008), Technometrics, Vol. 50, No.4: 553 – 557.

Detection and Estimation of a Mixture in a Power Law Process for a Repairable System” (2007) with J.-C. Lu and Ni Wang, Journal of Quality Technology. Vol. 39, 140 – 150.

“Estimating load-sharing properties in a dynamic reliability system” (2005) with E. A. Peña, Journal of the American Statistical Association, 100, No. 469, 262 – 272.

“A nonlinear random coefficients model for degradation testing” (2004) with S. J. Bae, Technometrics, 46, No. 4, 460 – 469.

“Nonparametric estimation of a distribution subject to stochastic precedence” (2002) with M. A. Arcones and F. J. Samaniego. Journal of the American Statistical Association, Vol. 97, No. 457, 170 – 182.

“Nonparametric Bayes estimation of contamination levels using observations from the residual distribution”, (2000) with R. C. Tiwari and J. N. Zalkikar, Journal of the American Statistical Association, Vol. 95, No. 452, 1119  – 1126.

“The effect of active learning methods on student retention in engineering statistics,” (2000) The American Statistician, Vol. 54, No. 2, 136 – 140.

“The binomial failure rate mixture model for common cause failure data from U.S. nuclear power plants,” (1998) Applied Statistics: Journal of the Royal Statistics Society, Series C, Vol. 47, Part 1, 49 –  61.

“Estimation techniques based on common cause failure data with different system sizes” (1996), Technometrics, Vol. 38, No.4, 382 – 388

“Nonparametric maximum likelihood estimation based on ranked set samples” (1994), with  F. J. Samaniego. Journal of the American Statistical Association,  Vol. 89, No. 426, 526– 537.

“On estimating distribution functions using nomination samples” (1993), with F. J. Samaniego.  Journal of the American Statistical Association, Vol. 88, No. 424, 1317– 1322.

Ph.D., University of California, Davis 1991
M.S., University of Florida 1986
B.S., Iowa State University 1984
Contact Information
215 Jepson Hall
(804) 289-8085
Areas of Expertise
Mathematical and applied statistics