Optimal designs for the proportional interference model
Abstract
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.
Keywords
Cite
@article{arxiv.1507.08441,
title = {Optimal designs for the proportional interference model},
author = {Kang Li and Wei Zheng and Mingyao Ai},
journal= {arXiv preprint arXiv:1507.08441},
year = {2015}
}
Comments
Published at http://dx.doi.org/10.1214/15-AOS1317 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)