Research Interests:

Publications:

  1. Wong, W.K. and J. Zhou (2019). ``CVX based algorithms for constructing various optimal regression designs ", Canadian Journal of Statistics, 47, 374-391.
  2. Yeh, C.K. and J. Zhou (2019). ``Properties of optimal regression designs under the second-order least squares estimator ", Statistical Papers, to appear.
  3. Wong, W.K., Y. Yin and J. Zhou (2019). ``Optimal designs for multi-response nonlinear regression models with several factors via semi-definite programming ", Journal of Computational and Graphical Statistics, 28, 61-73.
  4. Wong, W.K., Y. Yin and J. Zhou (2017). ``Use SeDuMi to find various optimal designs for regression models", Statistical Papers, to appear.
  5. Yin, Y. and J. Zhou (2017). ``Optimal designs for regression models using the second-order least squares estimator", Statistica Sinica, 27, 1841-1856.
  6. Ye, J.J., J. Zhou and W. Zhou (2017). ``Computing A-optimal and E-optimal designs for regression models via semidefinite programming", Communications in Statistics - Simulation and Computation, 46, 2011-2024.
  7. Gao, L.L. and J. Zhou (2017). ``D-optimal designs based on the second-order least squares estimator", Statistical Papers, 58, 77-94.
  8. Mann, R.K., R. Edwards and J. Zhou (2016). ``Robust designs for experiments with blocks", Communications in Statistics - Theory and Methods, 45, 5363-5379.
  9. Marechal, P., J.J. Ye and J. Zhou (2015). ``K-optimal design via semidefinite programming and entropy optimization", Mathematics of Operations Research, 40, 495-512.
  10. Yin, Y. and J. Zhou (2015). ``Minimax design criterion for fractional factorial designs", Annals of the Institute of Statistical Mathematics, 67, 673-685.
  11. Gao, L.L. and J. Zhou (2014). ``New optimal design criteria for regression models with asymmetric errors", Journal of Statistical Planning and Inference, 149, 140-151.
  12. Ye, J.J. and J. Zhou (2013). ``Minimizing the condition number to construct design points for polynomial regression models", SIAM Journal on Optimization, 23, 666-686.
  13. Lin, D.K.J. and J. Zhou (2013). ``D-optimal minimax fractional factorial designs", Canadian Journal of Statistics, 41, 325-340.
  14. Rempel, M.F. and J. Zhou (2014). ``On exact K-optimal designs minimizing the condition number", Communications in Statistics: Theory and Methods, 43, 1114-1131.
  15. Tang, B. and J. Zhou (2013). ``D-optimal two-level orthogonal arrays for estimating main effects and some specified two-factor interactions", Metrika, 76, 325-337.
  16. Zhou, J. (2013). ``Solution to Problem 1/SP11", Statistical Papers, 54, 903-904.
  17. Mann, R.K., R. Edwards, J. Zhou, A. Fenney, M. Jog and C. Duval (2012). ``Comparing movement patterns associated with Huntington's chorea and Parkinson's dyskinesia", Experimental Brain Research, 218, 639-654.
  18. Chen, X., M. Tsao, and J. Zhou (2012). ``Robust second-order least-squares estimator for regression models", Statistical Papers, 53, 371-386.
  19. Dahlberg, G., C. Janssen, and J. Zhou (2011). ``Robust estimation of distance effects and sub-optimality in mixed use buildings", Journal of Property Investment and Finance, 29, 612-629.
  20. Wilmut, M. and J. Zhou (2011). ``D-optimal minimax design criterion for two-level fractional factorial designs", Journal of Statistical Planning and Inference, 141, 576-587.
  21. Mann, R., R. Edwards, J. Zhou, M. Jog and C. Duval (2010). ``Intra- and inter-limb coherency during stance in non-dyskinetic and dyskinetic patients with Parkinson's disease", Clinical Neurology and Neurosurgery, 112, 392-399.
  22. Ou, B. and J. Zhou (2009). ``Minimax robust designs for field experiments", Metrika, 69, 45-54.
  23. Tang, B. and J. Zhou (2009). ``Existence and construction of two-level orthogonal arrays for estimating main effects and some specified two-factor interactions", Statistica Sinica, 19, 1193-1201.
  24. Zhu, H., F. He and J. Zhou (2008). ``Auto-multicategorical regression model for the distribution of vegetation", Statistics and Its Interface, 1, 63-73.
  25. Zhou, J. (2008). ``D-optimal minimax regression designs on discrete design space", Journal of Statistical Planning and Inference, 138, 4081-4092.
  26. Wiens, D.P. and J. Zhou (2008). ``Robust estimators and designs for field experiments", Journal of Statistical Planning and Inference, 138, 93-104.
  27. Ye, J. and J. Zhou (2007). ``Existence and symmetry of minimax regression designs", Journal of Statistical Planning and Inference, 137, 344-354.
  28. Shi, P., J. Ye and J. Zhou (2007). ``Discrete minimax designs for regression models with autocorrelated MA errors", Journal of Statistical Planning and Inference, 137, 2721-2731.
  29. Tsai, Y. and J. Zhou (2005). ``Discrete M-robust designs for regression models", Journal of Statistical Planning and Inference, 131, 393-406.
  30. Shi, P., J. Ye and J. Zhou (2003). ``Minimax robust designs for misspecified regression models", Canadian Journal of Statistics, 31, 397-414.
  31. Zhou, J. and H. Zhu (2003). ``Robust estimation and design procedures for the random effects model", Canadian Journal of Statistics, 31, 99-110.
  32. Field, C. and J. Zhou (2003). ``Confidence intervals based on robust regression", Journal of Statistical Planning and Inference, 115, 425-439.
  33. Tsao, M. and J. Zhou (2002). ``A nonparametric confidence interval for the trimmed mean", Journal of Nonparametric Statistics, 14, 665-673.
  34. He, F., J. Zhou and H. Zhu (2003). ``Autologistic regression model for the distribution of vegetation", Journal of Agricultural, Biological and Environmental Statistics, 8, 205-222.
  35. Zhu, H., S.Y. Lee, B.C. Wei and J. Zhou (2001). ``Case-deletion measures for models with incomplete data", Biometrika, 88, 727-737.
  36. Zhou, J. (2001a). ``Integer-valued, minimax robust designs for approximately linear model with correlated errors", Communications in Statistics: Theory and Methods, 30, 21-39.
  37. Zhou, J. (2001b). ``A robust criterion for experimental designs for serially correlated observations", Technometrics, 43, 462-467.
  38. Zhou, J. (2001c). ``Two robust design approaches for linear models with correlated errors", Statistica Sinica, 11, 261-272.
  39. Zhou, J. (2001). ``Solution to Problem No. 19: Maximize the Expected Work Force", Chance, 14, No. 2, 60-61.
  40. Janssen, C., B. Soderberg and J. Zhou (2001). ``Robust estimation of Hedonic models of price and income for investment property", Journal of Property Investment and Finance, 19, 342-360.
  41. Tsao, M. and J. Zhou (2001). ``On the robustness of empirical likelihood ratio confidence intervals for location", Canadian Journal of Statistics, 29, 129-140.
  42. Wiens, D.P. and J. Zhou (1999). ``Minimax designs for approximately linear models with AR(1) errors", Canadian Journal of Statistics, 27, 781-794.
  43. Wu, E.H. and J. Zhou (1998). ``Efficient bias-robust M-estimators of location in Kolmogorov normal neighbourhood", Canadian Journal of Statistics, 26, 257-266.
  44. Wiens, D.P., J. Zhou and E.K.H. Wu (1998). "On the trimmed mean and minimax variance L-estimation in Kolmogorov neighbourhoods", Canadian Journal of Statistics, 26, 231-238.
  45. Wiens, D.P. and J. Zhou (1997). ``Robust designs based on the infinitesimal approach", Journal of the American Statistical Association, 92, 1503-1511.
  46. Wiens, D.P. and J. Zhou (1996). ``Minimax regression designs for approximately linear model with autocorrelated errors," Journal of Statistical Planning and Inference, 55, 95-106.
  47. Wiens, D.P. and J. Zhou (1994). ``Bounded influence rank estimation in the linear model," Canadian Journal of Statistics, 22, 233-245.
  48. Julie Zhou (1995). Robust experimental designs for linear models, Ph.D. Thesis, University of Alberta, Canada.
  49. Julie Zhou (1992). Bounded-influence R-estimators in the Linear Model, M.Sc. Thesis, University of Alberta, Canada.