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                                       Details for article 4 of 12 found articles
 
 
  Graph complexity and the laplacian matrix in blocked experiments
 
 
Title: Graph complexity and the laplacian matrix in blocked experiments
Author: Constantine, Gregory M.
Appeared in: Linear & multilinear algebra
Paging: Volume 28 (1990) nr. 1-2 pages 49-56
Year: 1990-10
Contents: 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.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 12 found articles
 
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