统计与数据科学学院
-------------------------------------------------
学术讲座
讲座题目：A method for identifying dominant effects of a design with complex aliasing
讲 座 人：孙法省 教授，东北师范大学
时间：2018年11月9日（周五）8:30-9:30
地点：统计与数据科学学院431教室
摘要：For cost-saving, one may want to use designs with small run sizes to conduct experiments, for example, Plackett-Burman (PB) designs. But such a design usually has a complex aliasing pattern, thus it is very difficult to identify dominant effects. This paper proposes an analysis method for such designs, based on the decomposition of the variance of response. This method is easy to perform and also works when the number of the effects to be identified is more than the number of the run size. Thus this analysis method also applies to screening the active factors of supersaturated designs
欢迎广大师生参加！
统计与数据科学学院
2018年11月1日