Optimal designs for 2k paired comparison experiments

被引：43

作者：

Street, DJ

Bunch, DS

Moore, BJ

机构：

[1] Univ Technol Sydney, Dept Math Sci, Sydney, NSW 2007, Australia

[2] Univ Calif Davis, Grad Sch Management, Davis, CA 95616 USA

[3] Univ Technol Sydney, Dept Math Sci, Sydney, NSW 2007, Australia

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2001年 / 30卷 / 10期

关键词：

choice experiment; stated preference models; conjoint analysis;

D O I：

10.1081/STA-100106068

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：

In this paper we establish the form of the optimal paired comparison design when there are k attributes, each with two levels, for testing for main effects, for main effects and two factor interactions and for main effects and two and three factor interactions. In all cases we assume that all pairs with the same number of attributes different appear equally often. In this setting the D and A optimal designs for main effects are the foldover pairs and those for main effects and two factor interactions have pairs in which about half the attributes are different.

引用

页码：2149 / 2171

页数：23

共 14 条

[1]

ANDERSON D, 1992, TRANSPORT RES REC, V1357, P51

[2] A hierarchical Bayes model of primary and secondary demand [J].