Title Group screening method for the statistical analysis of E(f_NOD)optimal mixed-level supersaturated designs Author Koukouvinos, C. Kalliopi, M. Faculty/Department Faculty of Applied Economics Publication type article Publication 2009 , 2009 Subject Mathematics Source (journal) Statistical methodology. - Place of publication unknown Volume/pages 6(2009) :4 , p. 380-388 ISSN 1572-3127 Carrier E Target language English (eng) Full text (Publishers DOI) Abstract In this paper, we propose the application of group screening methods for analyzing data using E.fNOD/-optimal mixed-level supersaturated designs possessing the equal occurrence property. Supersaturated designs are a large class of factorial designs which can be used for screening out the important factors from a large set of potentially active variables. The huge advantage of these designs is that they reduce the experimental cost drastically, but their critical disadvantage is the high degree of confounding among factorial effects. Based on the idea of the group screening methods, the f factors are sub-divided into g group-factors''. The group-factors'' are then studied using the penalized likelihood statistical analysis methods at a factorial design with orthogonal or near-orthogonal columns. All factors in groups found to have a large effect are then studied in a second stage of experiments. A comparison of the Type I and Type II error rates of various estimation methods via simulation experiments is performed. The results are presented in tables and discussion follows.