4.5 Article

Additive Heredity Model for the Analysis of Mixture-of-Mixtures Experiments

期刊

TECHNOMETRICS
卷 62, 期 2, 页码 265-276

出版社

AMER STATISTICAL ASSOC
DOI: 10.1080/00401706.2019.1630010

关键词

Mixture experiments; Model selection; Nonnegative garrote method

资金

  1. National Science Foundation [CMMI-1435996]

向作者/读者索取更多资源

The mixture-of-mixtures (MoM) experiment is different from the classical mixture experiment in that the mixture component in MoM experiments, known as the major component, is made up of subcomponents, known as the minor components. In this article, we propose an additive heredity model (AHM) for analyzing MoM experiments. The proposed model considers an additive structure to inherently connect the major components with the minor components. To enable a meaningful interpretation for the estimated model, the hierarchical and heredity principles are applied by using the nonnegative garrote technique for model selection. The performance of the AHM was compared to several conventional methods in both unconstrained and constrained MoM experiments. The AHM was then successfully applied in two real-world problems studied previously in the literature. for this article are available online.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据