A comparison of spatial designs for field variety trials

E. R. Williams; H. P. Piepho

doi:10.1111/anzs.12034

A comparison of spatial designs for field variety trials

E. R. Williams^*, H. P. Piepho

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

Summary: Experimental designs can be constructed to be efficient in the presence of spatial correlation. Available construction methods include those based on autoregressive and linear variance models. This paper investigates spatial designs across a range of assumed autoregressive structures. Results show that when the spatial component is low relative to the independent error term, efficient spatial designs can be constructed without having to specify parameters for the spatial structure.

Original language	English
Pages (from-to)	253-258
Number of pages	6
Journal	Australian and New Zealand Journal of Statistics
Volume	55
Issue number	3
DOIs	https://doi.org/10.1111/anzs.12034
Publication status	Published - Sept 2013

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10.1111/anzs.12034

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abstract = "Summary: Experimental designs can be constructed to be efficient in the presence of spatial correlation. Available construction methods include those based on autoregressive and linear variance models. This paper investigates spatial designs across a range of assumed autoregressive structures. Results show that when the spatial component is low relative to the independent error term, efficient spatial designs can be constructed without having to specify parameters for the spatial structure.",

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AB - Summary: Experimental designs can be constructed to be efficient in the presence of spatial correlation. Available construction methods include those based on autoregressive and linear variance models. This paper investigates spatial designs across a range of assumed autoregressive structures. Results show that when the spatial component is low relative to the independent error term, efficient spatial designs can be constructed without having to specify parameters for the spatial structure.

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KW - Efficiency factor

KW - Experimental design

KW - Linear variance model

KW - Row-column design

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JF - Australian and New Zealand Journal of Statistics

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A comparison of spatial designs for field variety trials

Abstract

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