TheA-Optimality of Block Designs for Comparing Test Treatments with a Control
作者:
Mike Jacroux,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1989)
卷期:
Volume 84,
issue 405
页码: 310-317
ISSN:0162-1459
年代: 1989
DOI:10.1080/01621459.1989.10478771
出版商: Taylor & Francis Group
关键词: Balanced treatment block design;Concurrence matrix;Group-divisible treatment design;Incidence matrix;Regular graph treatment design
数据来源: Taylor
摘要:
In this article we consider experimental settings in which it is desired to optimally comparevtest treatments to a standard or control treatment and the experimental units are to be arranged inbblocks of sizek. This problem has received a good deal of attention in recent years. Majumdar and Notz (1983) developed some sufficient conditions that can be used to establish theA-optimality of balanced treatment block designs (BTBD's) in these situations, and several authors have since used these sufficient conditions to show theA-optimality of some specific BTBD's as well as characterize some infinite families ofA-optimal BTBD's. Here we develop some further sufficient conditions forA-optimality that generalize those given by Majumdar and Notz (1983) and can often be used to establish theA-optimality of BTBD's not covered by the results of Majumdar and Notz (1983), as well as theA-optimality of certain types of designs called group-divisible treatment designs. Several examples are given to illustrate how the sufficient conditions obtained here can be applied.
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