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Error variance bias in neighbour balance and evenness of distribution designs

机译:邻居余额的误差方差偏差和分布设计的均匀性

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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.
机译:邻居平衡和分销设计的均匀性有助于解决用户对农业田间试验的二维布局的担忧。这是通过最小化成对处理曲线邻居的发生并确保治疗的复制跨越试验的行和列来完成。这种考虑因素导致对行列设计的正常随机处理过程的限制,这可能导致误差方差偏差。在本文中,使用均匀性试验数据来评估可解变和不可解剖设计的这种偏差的程度。使用线性方差空间设计进行了类似的调查进行比较。

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