My research interest include nonparametric and semiparametric statistics, applications of empirical characteristic functions, measurement error and latent variable modeling, generalized skew-symmetric distributions, and circular data. For the most recent view of published manuscripts and pre-prints, see my Google Scholar.


  1. Bui, M.T.(#), Potgieter, C.J., & Kamata, A. (2022). Penalized Likelihood Methods for Modeling Count Data. Journal of Applied Statistics. DOI: 10.1080/02664763.2022.2103101.
  2. Potgieter, C.J., Lombard, F., & Hawkins, D. (2022). Statistical Process Control on the Circle: A Review and Some New Results, Directional Statistics for Innovative Applications (Springer). 425-447.
  3. Kara, Y., Kamata, A., Gallegos, E., Patarapichayatham, C., & Potgieter, C. (2021). Covariate Balance as a Quality Indicator for Propensity Score Analysis. Journal of Measurement and Evaluation in Education and Psychology. 12, 374 – 387.
  4. Nghiem, L.(*), Byrd, M.(*), & Potgieter, C.J. (2020). Estimation in linear errors-invariables models with unknown error distribution. Biometrika. 107, 841–856.
  5. Lombard, F., Hawkins, D.M. & Potgieter, C.J. (2019). Nonparametric CUSUM Charts for Angular Data with Applications in Health Science and Astrophysics. REVSTAT. 18, 461-481.
  6. Potgieter, C.J. (2020). Density Deconvolution for Generalized Skew-Symmetric Distributions. Journal of Statistical Distributions and Applications. 7:2.
  7. Kara, Y., Kamata, A., Potgieter, C.J., & Nese, J. (2020). Estimating Model-Based Oral Reading Fluency: A Bayesian Approach. Educational and Psychological Measurement. 80, 847-869.
  8. Nghiem, L.(*) & Potgieter, C.J. (2019). A Simulation–Selection–Extrapolation: Estimation in High–Dimensional Errors–in–Variables Models. Biometrics. 75, 1133–1144.
  9. Potgieter, C.J. (2019). Sequential Monitoring of Circular Processes Related to the von Mises Distribution, in Statistical Quality Technologies, Theories & Practice (Springer), 127-150.
  10. Nghiem, L.(*) & Potgieter, C.J. (2018). Phase Function Density Deconvolution with Heteroscedastic Measurement Error of Unknown Type. Statistics in Medicine. 37, 3679-3692.
  11. Lombard, F., Hawkins, D., & Potgieter, C.J. (2017). Sequential Rank CUSUM Charts for Angular Data. Computational Statistics and Data Analysis. 105, 268-279.
  12. Potgieter, C.J., Wei, R., Kipnis, V., Freedman, L.S. & Carroll, R.J. (2016). Moment Reconstruction and Moment-Adjusted Imputation when Exposure is Generated by a Complex, Nonlinear Random Effects Modeling Process. Biometrics. 72, 1369-1377.
  13. Potgieter, C.J. & Lombard, F. (2016). Nonparametric two-sample estimation of location and scale parameters from empirical characteristic functions. Journal of Statistical Computation and Simulation. 86, 3225-3242.
  14. Hall, P., Lombard, F. & Potgieter, C.J. (2013). A New Approach to Function-Based Hypothesis Testing in Location-Scale Families of Distributions. Technometrics. 55, 215-223.
  15. Potgieter, C.J. & Genton, M.G. (2013). Characteristic Function-Based Semiparametric Inference for Skew-Symmetric Models. Scandinavian
  16.  Journal of Statistics. 40, 471-490.
  17. Potgieter, C.J. & Lombard, F. (2012). Nonparametric Estimation of Location and Scale Parameters. Computational Statistics and Data Analysis. 56, 4327-4337.
  18. Lombard, F. & Potgieter, C.J. (2012). Some Remarks on the Grubbs Estimator. South-African Statistical Journal. 46, 65-83.
  19. Lombard, F. & Potgieter, C.J. (2012). A Multivariate Rank Test for Comparing Two Mass Size Distributions. Journal of Applied Statistics. 39, 851-865.
  20. Lombard, F. & Potgieter, C.J. (2012). Another look at the Grubbs estimator. Chemometrics and Intelligent Laboratory Systems. 110, 74-80.
  21. Potgieter, C.J. & Lombard, F. (2008). Estimation of Linear Treatment Effects from Matched Pair Data. South-African Statistical Journal. 42, 17-45.

Manuscripts Under Review & Working Projects

  1. Nghiem, L.(*) & Potgieter, C.J. A Linear Errors-in-Variables Model with Unknown Heteroscedastic Measurement Errors.
  2. Potgieter, C.J., Kamata, A. & Kara, Y. An EM Algorithm for Estimating an Oral Reading Speed and Accuracy Model (arXiv: 1705.10446).
  3. Nussbaum, A.(*) & Potgieter, C.J. Comparing Estimation Methods for Multivariate Longitudinal Latent Trait Models with Two Sources of Measurement Error.
  4. Samaratunga, S.(*) & Potgieter, C.J. A Split-Sample Approach for Estimating the Index Parameter of a Stable Distribution (arXiv: 1705.09840).
  5. Potgieter, C.J. & Zhao, Y. Jackknife Empirical Likelihood for the Location-Scale Model.
  6. Qiao, X(**). & Potgieter, C.J. A Semiparametric Testlet Model For Count Data.

(**) indicates work done with a post-doctoral fellow, (*) indicates work done with PhD students, and (#) indicates work done with undergraduate students I have supervised)