Error variance bias in neighbour balance and evenness of distribution designs

被引:4
|
作者
Williams, E. R. [1 ]
Piepho, H. P. [2 ]
机构
[1] Australian Natl Univ, Stat Consulting Unit, Canberra, ACT 2600, Australia
[2] Univ Hohenheim, Biostat Unit, D-70593 Stuttgart, Germany
关键词
average efficiency factor; experimental design; neighbour balance; randomisation; resolvable design; row-column design;
D O I
10.1111/anzs.12277
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
Neighbour balance and evenness of distribution designs help to address user concerns in the two-dimensional layout of agricultural field trials. This is done by minimising the occurrence of pairwise treatment plot neighbours and ensuring that the replications of treatments are spread out across rows and columns of a trial. Such considerations result in a restriction on the normal randomisation process for a row-column design which can lead to error variance bias. In this paper, uniformity trial data is used to assess the degree of this bias for both resolvable and non-resolvable designs. Comparisons are made with a similar investigation using Linear Variance spatial designs.
引用
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页码:466 / 473
页数:8
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