Selecting baseline designs using a minimum aberration criterion when some two-factor interactions are important  

作　　者：Anqi Chen Cheng-Yu Sun Boxin Tang 

机构地区：[1]Department of Statistics and Actuarial Science,Simon Fraser University,Burnaby,Canada

出　　处：《Statistical Theory and Related Fields》2021年第2期95-101,共7页统计理论及其应用（英文）

基　　金：supported by Natural Sciences and Engineering Research Council of Canada[Discovery Grant].

摘　　要：This article considers the problem of selecting two-level designs under the baseline parameterisation when some two-factor interactions are important.We propose a minimum aberration criterion,which minimises the bias caused by the non-negligible effects.Using this criterion,a class of optimal designs can be further distinguished from one another,and we present an algorithm to find the minimum aberration designs among the D-optimal designs.Sixteen-run and twenty-run designs are summarised for practical use.

关 键 词：Efficiency criterion fractional factorial design isomorphic design isomorphic model orthogonal array robust parameter design 

分 类 号：O17[理学—数学]