1986
DOI: 10.2307/2336203
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On the Design of Experiments Under Spatial Correlation

Abstract: JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Biometrika Trust is collaborating with JSTOR to digitize, preserve and extend access to Biometrika. SUMMARYThe implications for experimental design when the errors are spatial… Show more

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Cited by 16 publications
(17 citation statements)
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“…This led to the study of power law correlation functions by Whittle [25] and Besag [3] as an alternative to exponential decay. Martin [19] also indicates the importance of long-range correlation structures in agricultural field experiments.…”
mentioning
confidence: 91%
“…This led to the study of power law correlation functions by Whittle [25] and Besag [3] as an alternative to exponential decay. Martin [19] also indicates the importance of long-range correlation structures in agricultural field experiments.…”
mentioning
confidence: 91%
“…The diagnostic test proposed by Ljung (1986) can be used for model selection by investigating the effect of model misspecification on estimation of treatment effects and variance parameters. By fitting models to real data, Martin (1986), Besag & Kempton (1986), Gleeson & Cullis (1987) and Lill et al (1988) suggest that for field trials, a low order AFUMA(p,d,q) model, with p = 0 or 1, d = 1 or 2 and q = 0 generally provides an adequate fit.…”
Section: Y = D I ' + R T~+ T W H E R E R = [Z] a N D D = [ B T ] (2)mentioning
confidence: 99%
“…A Latin square is called pandiagonal if each entry appears only once in the main diagonal, the anti diagonal and all broken diagonals in both directions. These squares have several applications such as construction of pandiagonal magic squares [3], solutions of n-queens problem [4], and construction of statistical designs [12], where in this context they are known as Knut Vik designs, due to Vik [16]. A pandiagonal Latin square is cyclic if each row is a cyclic permutation of the first row and each column is a cyclic permutation of the first column.…”
Section: Introductionmentioning
confidence: 99%