ON THE DESIGN OF FIELD EXPERIMENTS UNDER A ONE‐DIMENSIONAL NEIGHBOUR MODEL
作者:
Alan C. Gleeson,
John A. Eccleston,
期刊:
Australian Journal of Statistics
(WILEY Available online 1992)
卷期:
Volume 34,
issue 1
页码: 91-97
ISSN:0004-9581
年代: 1992
DOI:10.1111/j.1467-842X.1992.tb01046.x
出版商: Blackwell Publishing Ltd
关键词: Design efficiency;design layout;average pairwise variance;neighbour analysis;field experiments
数据来源: WILEY
摘要:
SummaryThis paper examines the effect of randomisation restrictions, either to satisfy conditions for a balanced incomplete block design or to attain a higher level of partial neighbour balance, on the average variance of pair‐wise treatment contrasts under a neighbour model discussed by Gleeson&Cullis (1987). Results suggest that smaller average pairwise variances can be obtained by ignoring requirements for incomplete block designs and concentrating on achieving a higher level of partial neighbour balance. Field layout of the design, although often determined by practical constraints, e.g. size, shape of site, minimum plot size and experimental husbandry, may markedly affect average pairwise variance. For the one‐dimensional (row‐wise) neighbour model considered here, investigation of three different layouts suggests that for a rectangular array of plots, smaller average pairwise variances can generally be obtained from layouts with fewer rows and more plots pe
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