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• W2043719240 abstract "connections between the efficiency of statistical designs, the Laplacian matrix studied in algebra, and graphs of maximal complexity are being described. Up to a positive scalar multiple the Laplacian (or Kirchhoff) matrix concides with the information matrix that arises out of a statistical additive model with treatment and block effects. By way of the matrix-tree theorem design efficiency is shown to be closely related to graph complexity. Several open questions regarding graphs of maximal complexity are being brought to attention." @default.
• W2043719240 created "2016-06-24" @default.
• W2043719240 creator A5078253661 @default.
• W2043719240 date "1990-10-01" @default.
• W2043719240 modified "2023-09-30" @default.
• W2043719240 title "Graph complexity and the laplacian matrix in blocked experiments" @default.
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• W2043719240 doi "https://doi.org/10.1080/03081089008818029" @default.
• W2043719240 hasPublicationYear "1990" @default.
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