Optimal main effect plans in nested row-column set-up of small size

被引:1
|
作者
Bagchi, Sunanda [2 ]
Bose, Mausumi [1 ]
机构
[1] Indian Stat Inst, Appl Stat Unit, Kolkata 700108, W Bengal, India
[2] Indian Stat Inst, Theoret Stat & Math Unit, Bangalore 560059, Karnataka, India
关键词
D O I
10.1016/j.spl.2008.03.013
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 many experimental situations, there are two blocking factors nested within another blocking factor. This is termed nested row-column set-up. The available factorial designs in such a set-up are large and so may not always be practically useful. We consider factorial designs in these set-ups where the number of levels of each factor, including the blocking factor, is small and obtain main effect plans which are optimal for the estimation of all the treatment factors. (c) 2008 Elsevier B.V. All rights reserved.
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页码:2720 / 2724
页数:5
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