An Evaluation of Error Variance Bias in Spatial Designs
Emlyn R. Williams () and
Hans-Peter Piepho
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Emlyn R. Williams: Australian National University
Hans-Peter Piepho: University of Hohenheim
Journal of Agricultural, Biological and Environmental Statistics, 2018, vol. 23, issue 1, No 5, 83-91
Abstract:
Abstract Spatial design and analysis are widely used, particularly in field experimentation. However, it is often the case that spatial analysis does not significantly enhance more traditional approaches such as row–column analysis. It is then of interest to gauge the degree of error variance bias that accrues when a spatially designed experiment is analysed as a row–column design. This paper uses uniformity data to study error variance bias in $$7\times 12$$ 7 × 12 spatial designs for 21 treatments.
Keywords: Experimental design; Row–column design; Latin square; Spatial design; Linear variance; Average efficiency factor; Randomization (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:jagbes:v:23:y:2018:i:1:d:10.1007_s13253-017-0309-2
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DOI: 10.1007/s13253-017-0309-2
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