Variance-balanced designs under interference for dependent observations

DOI10.1016/S0378-3758(02)00407-XzbMath1031.62057MaRDI QIDQ1417804

D. Massart

Publication date: 6 January 2004

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

zbMATH Keywords

Orthogonal arraysDependent observationsDesigns for interference and competitionGeneralized least-squares

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Orthogonal arrays, Latin squares, Room squares (05B15) Statistical block designs (62K10)

Related Items (4)

Graph decomposition methods for variance balanced block designs with correlated errors ⋮ Optimal designs for an interference model ⋮ Universally optimal designs for three interference models under circulant correlation ⋮ Efficient designs based on orthogonal arrays of type I and type II for experiments using units ordered over time or space

Cites Work

• Optimal designs under two related models for interference
• Optimal incomplete block designs for general dependence structures
• On a matrix identity associated with generalized least squares
• Optimality of neighbour balanced designs
• Optimal repeated measurements designs: The linear optimality equations
• On the determination of optimal designs for an interference model.
• Incomplete block designs with spatial layouts when observations are dependent
• Optimal change-over designs when carry-over effects are proportional to direct effects of treatments
• Statistical Analysis of Field Experiments Using Neighbouring Plots
• Incorporating Overlap Effects from Neighbouring Units into Response Surface Models
• Variance-balanced change-over designs for dependent observations
• Design and Analysis of Field Experiments Incorporating Local and Remote Effects of Treatments
• Designs for Interference
• Optimal Complete Block Designs to Adjust for Interplot Competition with a Covariance Analysis
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Variance-balanced designs under interference for dependent observations