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dc.contributor.authorWilliams, E.R.
dc.contributor.authorJohn, J.A.
dc.contributor.authorWhitaker, David
dc.date.accessioned2010-06-21T04:14:44Z
dc.date.available2010-06-21T04:14:44Z
dc.date.issued2006
dc.identifier.citationWilliams, E.R., John, J.A. & Whitaker, D. (2006). Construction of resolvable spatial row-column designs. Biometrics, 62(1), 103-108.en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/4028
dc.description.abstractResolvable row–column designs are widely used in field trials to control variation and improve the precision of treatment comparisons. Further gains can often be made by using a spatial model or a combination of spatial and incomplete blocking components. Martin, Eccleston, and Gleeson (1993, Journal of Statistical Planning and Inference34, 433–450) presented some general principles for the construction of robust spatial block designs which were addressed by spatial designs based on the linear variance (LV) model. In this article we define the two-dimensional form of the LV model and investigate extensions of the Martin et al. principles for the construction of resolvable spatial row–column designs. The computer construction of efficient spatial designs is discussed and some comparisons made with designs constructed assuming an autoregressive variance structure.en_NZ
dc.language.isoen
dc.subjectaverage efficiency factoren_NZ
dc.subjectdevianceen_NZ
dc.subjectLatinized designsen_NZ
dc.subjectlinear varianceen_NZ
dc.subjectresidual maximum likelihooden_NZ
dc.subjectresolvable designsen_NZ
dc.subjectrow–column designsen_NZ
dc.subjectspatial designsen_NZ
dc.titleConstruction of resolvable spatial row-column designsen_NZ
dc.typeJournal Articleen_NZ
dc.identifier.doi10.1111/j.1541-0420.2005.00393.xen_NZ


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