Graph decomposition methods for variance balanced block designs with correlated errors

DOI10.1016/J.JSPI.2022.07.003zbMath1495.62059OpenAlexW4285682559MaRDI QIDQ2676912

Julie Zhou, Meixin Liu, Peter J. Dukes

Publication date: 28 September 2022

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2022.07.003

zbMATH Keywords

block designgraph decompositionspatial correlationdesign of experimentcircular correlationnearest neighbor correlation

Mathematics Subject Classification ID

Statistical block designs (62K10) Graph designs and isomorphic decomposition (05C51)

Cites Work

• Unnamed Item
• Pairwise and variance balanced incomplete block designs
• Variance-balanced designs under interference for dependent observations
• Cycle decompositions of \(K_n\) and \(K_n-I\)
• Efficient neighbour balanced block designs for correlated observations
• Construction of weak universal optimal block designs with various correlation structures and block sizes
• Cycle decompositions III: Complete graphs and fixed length cycles
• Robust designs for experiments with blocks
• Equireplicate balanced block designs with unequal block sizes
• Neighbour balanced block designs for correlated errors
• A Relation Between Pairwise Balanced and Variance Balanced Block Designs
• A Note on Balanced Designs
• Design and Analysis of Experiments

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