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A Comparison of Spatial Designs for Field Variety Trials
Author(s) -
Williams E. R.,
Piepho H. P.
Publication year - 2013
Publication title -
australian and new zealand journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 1369-1473
DOI - 10.1111/anzs.12034
Subject(s) - autoregressive model , mathematics , spatial analysis , variance (accounting) , field (mathematics) , spatial correlation , range (aeronautics) , spatial dependence , statistics , algorithm , engineering , accounting , pure mathematics , business , aerospace engineering
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.