Robust Experimental Design for Multivariate Generalized Linear Models

Hovav A Dror, David M Steinberg
2006 Technometrics  
A simple heuristic is proposed for constructing robust experimental designs for multivariate generalized linear models. The method is based on clustering a set of local optimal designs. A method for finding local D-optimal designs using available resources is also introduced. Clustering, with its simplicity and minimal computation needs, is demonstrated to outperform more complex and sophisticated methods.
doi:10.1198/004017006000000318 fatcat:ag5o5pytgfgzzd5uzruoht7cai