Level: Intermediate
【Presenter】
Peter Hersh, JMP Global Technical Enablement Engineer, SAS
Phil Kay Ph.D, Learning Manager Global Enablement, SAS institute
[Announcement summary] (Using automatic translation)
During the design of experiments process, many potential key factors are often identified. Ideally, you should investigate as many of these important factors as possible. There are different types of screening designs that can be used to minimize the number of runs required to investigate a large number of factors. The main goal of screening design is to find active factors that need further investigation. Choosing a method for analyzing these designs is important because it can be difficult to separate the signal from noise. In this talk, we will show you how to analyze different screening designs using automated validation techniques developed by Chris Gotwalt and Phil Ramsey. The focus will be on the Group Orthogonal Supersaturation Design (GO-SSD) and the final screening design (DSD). The presentation will show the results of automated validation techniques compared to other techniques for analyzing these screening designs.
If you would like to watch this announcement with a Japanese transcript, Here Please click on the.
Go to the session page under Discovery Summit Americas.
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English subtitles are available in the video below.