Model Averaging Method for Supersaturated Experimental Design

On supersaturated experimental design

In this article, optimization of a black box using designs of experiments is studied. There are two fundamental different branches in optimization using Design of Experiments; higher order Taylor expansions, i.e., response surface methodology, and underdetermined experimental designs, i.e., supersaturated designs. In this article, supersaturated designs are studied. Optimization using design of...

investigating the feasibility of a proposed model for geometric design of deployable arch structures

deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...

A model-averaging method for assessing groundwater conceptual model uncertainty.

This study evaluates alternative groundwater models with different recharge and geologic components at the northern Yucca Flat area of the Death Valley Regional Flow System (DVRFS), USA. Recharge over the DVRFS has been estimated using five methods, and five geological interpretations are available at the northern Yucca Flat area. Combining the recharge and geological components together with a...

Analysis Methods for Supersaturated Design: Some Comparisons

Supersaturated designs are very cost-effective with respect to the number of runs and as such are highly desirable in many preliminary studies in industrial experimentation. Variable selection plays an important role in analyzing data from the supersaturated designs. Traditional approaches, such as the best subset variable selection and stepwise regression, may not be appropriate in this situat...

Optimal Mixed - Level Supersaturated Design