Collection

State of the Art in Research on Design and Analysis of Experiments

Submission status
Closed
The collection highlights selected areas of current research in design and analysis of experiments (DAE) by recognized leaders in the field. Combined, the 16 papers cover a vast array of topics in DAE with original theoretical and methodological research contributions (such as on row-column designs, orthogonal arrays, incomplete block designs, multiway designs, space-filling designs, etc.), on novel applications (such as on designing pilot experiments for generalized linear models, testing statistical software), or big data analysis using design inspired methods (such as model robust subdata selection, a designed bootstrap procedure for causal inference). In addition, the topical collection includes multiple articles on optimal designs for generalized linear models, computer experiments, crossover designs, and optimal designs for comparing regression curves. Overall, this collection exemplifies and showcases the latest results and developments in the exciting research area of DAE in a single location.

Editors

  • John Stufken John Stufken , 

    John Stufken

    John Stufken is Bank of America Excellence Professor and inaugural Director for the MS in Informatics and Analytics at UNCG. His interests are in the design of experiments, subdata selection, and data science. He is an elected Fellow of the American Statistical Association and the Institute of Mathematical Statistics. He has held appointments as a professor at Iowa State University, Program Director for Statistics at the National Science Foundation, Head of the Department of Statistics at the University of Georgia, and Coordinator of Statistics at Arizona State University. His research has been supported by the NSF throughout his career.

  • Abhyuday Mandal Abhyuday Mandal  &

    Abhyuday Mandal

    Abhyuday Mandal is a Professor and the Undergraduate Coordinator in the Department of Statistics at the University of Georgia. He received his bachelor’s and master’s degrees from the Indian Statistical Institute, Kolkata, another master’s degree fromthe University of Michigan and a Ph.D. in 2005 from the Georgia Institute of Technology. His research interests include design of experiments, computer experiments, optimization techniques and survey sampling. Currently he is an Associate Editor of Sankhya - Series B, Statistics and Probability Letters and Journal of Statistical Theory and Practice.

  • Rakhi Singh Rakhi Singh

    Rakhi Singh

    Rakhi Singh is a postdoc in the Informatics and Analytics program at UNC Greensboro. Before that, she did a year-long postdoc at the Technical University of Dortmund, Germany. She obtained her Ph.D. from a joint program between the Indian Institute of Technology Bombay, India, and Monash University, Australia. She is currently working on designing and analyzing supersaturated designs for screening experients and subdata selection for high-dimensional data. She is also interested in finding optimal designs for several choice experiment setups, optimal coverings, and pseudo generalized Youden designs.

Articles (16 in this collection)