Variance-balanced designs under interference for dependent observations
From MaRDI portal
Publication:1417804
DOI10.1016/S0378-3758(02)00407-XzbMath1031.62057MaRDI QIDQ1417804
Publication date: 6 January 2004
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Orthogonal arraysDependent observationsDesigns for interference and competitionGeneralized least-squares
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