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A Comparison of Spatial Designs for Field Variety Trials

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Williams, Emlyn; Piepho, H.P.

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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 rang

dc.contributor.authorWilliams, Emlyn
dc.contributor.authorPiepho, H.P.
dc.date.accessioned2015-12-10T22:58:10Z
dc.identifier.issn1369-1473
dc.identifier.urihttp://hdl.handle.net/1885/60731
dc.description.abstractSummary: 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 rang
dc.publisherBlackwell Publishing Ltd
dc.sourceAustralian and New Zealand Journal of Statistics
dc.subjectKeywords: Autoregressive model; Efficiency factor; Experimental design; Linear variance model; Row-column design
dc.titleA Comparison of Spatial Designs for Field Variety Trials
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume55
dc.date.issued2013
local.identifier.absfor010401 - Applied Statistics
local.identifier.ariespublicationu4326120xPUB559
local.type.statusPublished Version
local.contributor.affiliationWilliams, Emlyn, Administrative Division, ANU
local.contributor.affiliationPiepho, H.P., University of Hohenheim
local.description.embargo2037-12-31
local.bibliographicCitation.issue3
local.bibliographicCitation.startpage253
local.bibliographicCitation.lastpage258
local.identifier.doi10.1111/anzs.12034
dc.date.updated2016-02-24T10:56:37Z
local.identifier.scopusID2-s2.0-84885957238
local.identifier.thomsonID000330034900004
CollectionsANU Research Publications

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