Optimising changeover designs using the average efficiency factors

被引:4
作者
John, JA
Russell, KG
机构
[1] Univ Waikato, Dept Stat, Hamilton, New Zealand
[2] Univ Wollongong, Sch Math & Appl Sci, Wollongong, NSW 2522, Australia
关键词
compound objective functions; interchange algorithms; (M; S)-optimality; multi-objective functions; row-column designs; simulated annealing;
D O I
10.1016/S0378-3758(01)00304-4
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 a changeover design, each subject receives a sequence of treatments over consecutive time periods. We provide simple recursive formulae for updating the average efficiency factors of both direct and residual treatment effects, after two treatments are interchanged. We have incorporated these formulae into two interchange algorithms. From a comparison with designs generated from other algorithms using surrogate objective functions, we show that these recursive methods generally produce more efficient designs more quickly. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:259 / 268
页数:10
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