Seminar: "Response Modelling Approach to Robust Parameter Design Methodology Using Supersaturated Designs"

AUEB STATISTICS SEMINAR SERIES 2023-24

Krystallenia Drosou, Ph.D - Teaching Lecturer – NTUA

Response Modelling Approach to Robust Parameter Design Methodology Using Supersaturated Designs

ROOM T202

ABSTRACT

In recent years, both robust parameter designs (RPDs) and supersaturated designs (SSDs) have attracted a great deal of attention. Robust parameter design methodology (RPDM) constitutes a statistical methodology that aims at reducing the performance variation of a system owing to hard to control variables while supersaturated designs (SSDs) constitute a large class of factorial designs which can be used for screening out the important factors from a large set of potentially active ones. This study considers a common sense of both fields. During the seminar, I will present a construction of an effective SSD along with an analysis method, in order to deal with the significant problem of RPDM. The proposed methodology applied in different models so as to show its effectiveness in many different scenarios, assuming both first and second- order models in a sense of a response surface design. In this talk, I will focus on two illustrative examples as well as numerous numerical experiments for plenty cases where the results imply that the proposed method is highly effective for identifying the important effects under the assumption of effect sparsity.