OPTIMAL DESIGNS FOR THE PROPORTIONAL INTERFERENCE MODEL

• 成果类型: Article
• 署名作者: Li, Kang; Zheng, Wei; Ai, Mingyao
• 署名单位: Peking University; Peking University; Purdue University System; Purdue University; Purdue University in Indianapolis
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/15-AOS1317
• 发表日期: 2015
• 页码: 1596-1616
• 关键词: neighbor-balanced designs; optimal crossover designs; universally optimal designs; correlated observations; COMPETITION; adjustment; trials

摘要

The interference model has been widely used and studied in block experiments where the treatment for a particular plot has effects on its neighbor plots. In this paper, we study optimal circular designs for the proportional interference model, in which the neighbor effects of a treatment are proportional to its direct effect. Kiefer's equivalence theorems for estimating both the direct and total treatment effects are developed with respect to the criteria of A, D, E and T. Parallel studies are carried out for the undirectional model, where the neighbor effects do not depend on whether they are from the left or right. Moreover, the connection between optimal designs for the directional and undiretional models is built. Importantly, one can easily develop a computer program for finding optimal designs based on these theorems.