Eight-run two-level factorial designs under dependence

被引：2

作者：

Martin, RJ

Jones, G

Eccleston, JA

机构：

[1] Univ Sheffield, Sch Math & Stat, Sheffield S3 7RH, S Yorkshire, England

[2] Massey Univ, Dept Stat, Palmerston North, New Zealand

[3] Univ Queensland, Dept Math, Brisbane, Qld 4072, Australia

来源：

METRIKA | 1998年 / 48卷 / 02期

关键词：

optimal design; temporal dependence; two-level factorial design;

D O I：

10.1007/s001840050004

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Dependent observations commonly arise in factorial experiments. Apart from main-effects two-level designs formed by the Cheng & Steinberg reverse foldover algorithm, which are known to be very efficient designs under dependence using the D-criterion, little is known about other designs, models and criteria, and the range of possible behaviour. In this paper, we investigate in detail 8-run two-level designs.

引用

页码：127 / 139

页数：13

共 5 条

[1]

CHENG CS, 1991, BIOMETRIKA, V78, P325

[2] FACTOR CHANGES AND LINEAR TRENDS IN 8-RUN 2-LEVEL FACTORIAL DESIGNS [J].