Weijia Zhang, PhD in Statistics (2019), co-supervisor: S. Muthukumarana
Bowei Yang, MSc in Statistics (2019)
Dianwei Huang, MSc in Statistics (2017)
Weijia Zhang, MSc in Statistics (2016)
Faisal Atakora, MSc in Statistics (2016)
Jingjing Hu, MSc in Statistics (2015)
Conference Presentations (Since 2008)
Some Properties of Foldover Designs with Column Permutations. Conference on Experimental Design and Analysis, Hsinchu, Taiwan, December 13-15, 2018.
Minimum contamination and beta-aberration criteria for screening quantitative factors. WNAR/IMS 2018 Meeting, Edmonton, June 24-27, 2018.
Minimum contamination and beta-aberration criteria for screening quantitative factors. Joint Research Conference on Statistics in Quality, Industry, and Technology, Santa Fe, New Mexico, June 11-14, 2018.
Foldover designs with column permutations. 45th Annual Meeting of the Statistical Society of Canada, Winnipeg, June 11-14, 2017.
Some properties of optimal foldover designs with column permutations. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016), University of Seville, Spain, Dec. 9-11, 2016.
Blocked semifoldovers of two-level orthogonal designs. Ordered Data and their Applications in Reliability and Survival Analysis, McMaster University, Hamilton, August 7-10, 2016.
Split-plot definitive screening designs for response surface methodology. 8th International Workshop on Applied Probability (IWAP 2016), Toronto, June, 20-23, 2016.
Blocked semifoldovers of two-Level orthogonal designs. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (ERCIM 2015), University of London, UK, December 12-14, 2015.
Response surface methodology using split-plot definitive screening designs. ICSA – Canada Chapter 2015 Symposium, Calgary, August 4-6, 2015.
Response surface methodology using split-plot definitive screening designs. 43rd Annual Meeting of the Statistical Society of Canada, Halifax, June 14-17, 2015.
Response surface methodology using split-plot definitive screening designs. 7th International Conference of the ERCIM WG on Computational Methodological Statistics (ERCIM 2014), University of Pisa, Italy, December 6-8, 2014.
Optimal split-plot orthogonal arrays. Joint Research Conference on Statistics in Quality, Industry, and Technology, University of Washington, Seattle, Washington, USA, June 24-26, 2014.
Semifoldover two-level regular blocked factorial designs. The IMS-China International Conference on Statistics and Probability, Chengdu, China, June 30-July 4, 2013.
Optimal semifoldover blocked fractional factorial designs. The 6th International Congress of Chinese Mathematicians, Taipei, July 14-19, 2013.
Semifoldover two-level regular blocked factorial designs. The 20th ASA/IMS Spring Research Conference on Statistics in Industry and Technology, UCLA, June 20-22, 2013.
Optimal blocking and semifoldover plans for two-level factorial designs. The 29th Quality and Productivity Research Conference, Long Beach, CA, June 4-7, 2012.
Optimal blocked semifoldover designs. The First International Symposium on System Informatics and Engineering, Qingdao, China, July 11-13, 2011.
Semifoldover general factorial designs. International Conference on Design of Experiments, Memphis, May 10-13, 2011.
Optimal blocked semifoldover designs. Joint Research Conference on Statistics in Quality, Industry, and Technology, Gaithersburg, MD, May 25-27, 2010.
Forms of four-word indicator functions with implications to two-level factorial designs. Spring Research Conference on Statistics in Industry and Technology, Vancouver, Canada, May 27-29, 2009.
Semifolding general two-level factorial designs. 2008 ASA Quality and Productivity Research Conference, Madison, Wisconsin, June 27-29, 2008.
Zhang, W., Wang, X. and Yang, P. (2019). A new design of the continual reassessment method. Communications in Statistics – Simulation and Computation. Accepted.
Atakora, F. and Yang, P. (2019). Construction of optimal foldover designs with the general minimum lowerorder confounding. Statistics and Applications. Accepted.
Yang, P. and Li, W. (2019). Some properties of foldover designs with column permutations. Metrika 82(6), 705-717.
Lin, C. Y. and Yang, P. (2019). Data-driven multistratum designs with the generalized Bayesian D-D criterion for highly uncertain models. Computational Statistics and Data Analysis 138, 222-238.
Yang, P. and Hu, J. (2018). Optimal robust parameter designs with qualitative and quantitative factors. Australian & New Zealand Journal of Statistics 60(2), 188-198.
Lin, C. Y. and Yang, P. (2018). Robust multistratum baseline designs. Computational Statistics and Data Analysis 118, 98-111.
Lin, C. Y. and Yang, P. (2017). Minimum contamination and beta-aberration criteria for quantitative factors. Statistica Sinica 27(2), 607-623.
Yang, P. and Lin, C. Y. (2017). Optimal split-plot orthogonal arrays. Australian & New Zealand Journal of Statistics 59(1), 81-94.
Zhang, W. and Yang, P. (2017). Optimal investment and consumption with unknown parameters. Communications in Statistics – Theory and Methods 46(12), 5985-5993.
Lin, C. Y. and Yang, P. (2015). Response surface methodology using split-plot definitive screening designs. Journal of Quality Technology 47(4), 351-362.
Yang, P., Lin, C. Y. and Li, W. (2015). Blocked semifoldovers of two-level orthogonal designs. Metrika 78(5), 529-548.
Yang, P. and Li, W. (2014). Blocked two-level semifoldover designs. Journal of statistical planning and inference 144, 133-140.
Yang, P. (2013). Optimal blocking and semifoldover plans for 2^{n-p} designs. Statistics & Probability Letters 83(2), 624-630.
Balakrishnan, N. and Yang, P. (2011). Forms of four-word indicator functions with implications to two-level factorial designs. Annals of the Institute of Statistical Mathematics 63 (2), 375–386.
Balakrishnan, N. and Yang, P. (2009). De-aliasing effects using semifoldover techniques. Journal of Statistical Planning and Inference 139 (9), 3102–3111.
Balakrishnan, N. and Yang, P. (2006). Classification of three-word indicator functions of two-level factorial designs. Annals of the Institute of Statistical Mathematics 58 (3), 596–608.
Balakrishnan, N. and Yang, P. (2006). Connections between the resolutions of general two-level factorial designs. Annals of the Institute of Statistical Mathematics 58 (3), 609–618.
Zhang, W., Wang, X. and Yang, P. (2019). A new design of the continual reassessment method. Communications in Statistics – Simulation and Computation. Accepted.
Atakora, F. and Yang, P. (2019). Construction of optimal foldover designs with the general minimum lowerorder confounding. Statistics and Applications. Accepted.
Yang, P. and Li, W. (2019). Some properties of foldover designs with column permutations. Metrika 82(6), 705-717.
Lin, C. Y. and Yang, P. (2019). Data-driven multistratum designs with the generalized Bayesian D-D criterion for highly uncertain models. Computational Statistics and Data Analysis 138, 222-238.
Yang, P. and Hu, J. (2018). Optimal robust parameter designs with qualitative and quantitative factors. Australian & New Zealand Journal of Statistics 60(2), 188-198.
Lin, C. Y. and Yang, P. (2018). Robust multistratum baseline designs. Computational Statistics and Data Analysis 118, 98-111.
Lin, C. Y. and Yang, P. (2017). Minimum contamination and beta-aberration criteria for quantitative factors. Statistica Sinica 27(2), 607-623.
Yang, P. and Lin, C. Y. (2017). Optimal split-plot orthogonal arrays. Australian & New Zealand Journal of Statistics 59(1), 81-94.
Zhang, W. and Yang, P. (2017). Optimal investment and consumption with unknown parameters. Communications in Statistics – Theory and Methods 46(12), 5985-5993.
Lin, C. Y. and Yang, P. (2015). Response surface methodology using split-plot definitive screening designs. Journal of Quality Technology 47(4), 351-362.
Yang, P., Lin, C. Y. and Li, W. (2015). Blocked semifoldovers of two-level orthogonal designs. Metrika 78(5), 529-548.
Yang, P. and Li, W. (2014). Blocked two-level semifoldover designs. Journal of statistical planning and inference 144, 133-140.
Yang, P. (2013). Optimal blocking and semifoldover plans for 2^{n-p} designs. Statistics & Probability Letters 83(2), 624-630.
Balakrishnan, N. and Yang, P. (2011). Forms of four-word indicator functions with implications to two-level factorial designs. Annals of the Institute of Statistical Mathematics 63 (2), 375–386.
Balakrishnan, N. and Yang, P. (2009). De-aliasing effects using semifoldover techniques. Journal of Statistical Planning and Inference 139 (9), 3102–3111.
Balakrishnan, N. and Yang, P. (2006). Classification of three-word indicator functions of two-level factorial designs. Annals of the Institute of Statistical Mathematics 58 (3), 596–608.
Balakrishnan, N. and Yang, P. (2006). Connections between the resolutions of general two-level factorial designs. Annals of the Institute of Statistical Mathematics 58 (3), 609–618.