Rakhi Singh
Assistant Professor
Department of Mathematics and Statistics
Background
Select Publications
- Singh, R. (2024). Pareto-efficient designs for multi- and mixed-level supersaturated designs. Statistics & Computing, 34, article 38. [https://doi.org/10.1007/s11222-023-10354-9]
- Singh, R. (2023). Best practices for multi- and mixed-level supersaturated designs. J. Quality Technology, to appear. [https://doi.org/10.1080/00224065.2023.2259022]
- Singh, R. and Stufken, J. (2023). Subdata selection with a large number of variables. The New England Journal of Statistics in Data Science, 1(3), 426-438. [https://doi.org/10.51387/23-NEJSDS36]
- Singh, R. and Stufken, J. (2023). Selection of two-level supersaturated designs for main effects models. Technometrics, 65, 96-104. [https://doi.org/10.1080/00401706.2022.2102080]
Education
- PhD, IIT-Monash Research Academy, 2019