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Phillip S. Kott

Senior Research Statistician

Phillip S. Kott, PhD, is an expert in survey sampling theory and practice, including calibration weighting, multiphase sampling, the analysis of survey data, and variance estimation. Dr. Kott is a fellow of the American Statistical Association (ASA), a member of the International Statistical Institute, and a fellow of the Royal Statistical Society. He received a Presidential Rank Award in 2007 and an ASA Section of Statistics and the Environment Distinguished Achievement Medal in 1997. He is active as a journal associate editor, and served as the president of the Washington Statistical Society and the chair of ASA's Council of Chapters. He has taught survey sampling at George Mason University and the Joint Program in Survey Methodology. Prior to joining RTI in January 2009, Dr. Kott was the chief research statistician at the National Agricultural Statistical Service of the United States Department of Agriculture.


PhD, Mathematical Economics and Econometrics, Brown University; MA, Economics, Brown University; BS, Mathematics, State University of New York, Stony Brook.

Latest Publications

Kott, P.S., & Day, C.D. (2014). Developing Calibration Weights and Standard-Error Estimates for a Survey of Drug-Related Emergency-Department Visits. Journal of Official Statistics, 30 (3):521-532.
Garren, S.T., & Kott, P.S. (2014). Evaluating the Effective Degrees of Freedom of the Delete-a-Group Jackknife. Communications in Statistics-Simulation and Computation, 43 (10):2649-2660.
Kott, P.S. (2014). Calibration weighting when model and calibration variables can differ. In Mecatti, F., Conti, P.L. & Ranalli, M.G. (Eds.), Contributions to Sampling Statistics (pp. 1-18). Heidelberg, Germany: Springer.
Kott, P.S. (2013). Discussion. Journal of Official Statistics, 29 (3):359-362.
Kott, P.S. (2013). Discussion (of J.M. Brick's article "Unit Nonresponse and Weighting Adjustments: A Critical Review"). Journal of Official Statistics, 29 (3):359-362.
View all publications by Phillip S. Kott (62)


  • Survey Sampling Theory and Practice
  • Calibration Weighting
  • Multiphase Sampling
  • Variance Estimation