Minimal balanced repeated measurements designs

被引:18
作者
Sharma, VK [1 ]
Jaggi, S [1 ]
Varghese, C [1 ]
机构
[1] Indian Agr Res Inst, New Delhi 110012, India
关键词
D O I
10.1080/0266476032000075958
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
Experimental designs in which treatments are applied to the experimental units, one at a time, in sequences over a number of periods, have been used in several scientific investigations and are known as repeated measurements designs. Besides direct effects, these designs allow estimation of residual effects of treatments along with adjustment for them. Assuming the existence of first-order residual effects of treatments, Hedayat & Afsarinejad (1975) gave a method of constructing minimal balanced repeated measurements [RM(v, n, p)] design for v treatments using n = 2v experimental units for p[=(v + 1)/2] periods when v is a prime or prime power. Here, a general method of construction of these designs for all odd v has been given along with an outline for their analysis. In terms of variances of estimated elementary contrasts between treatment effects (direct and residual), these designs are seen to be partially variance balanced based on the circular association scheme.
引用
收藏
页码:867 / 872
页数:6
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