Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/77265 
Year of Publication: 
2000
Series/Report no.: 
Technical Report No. 2000,17
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
This paper generalizes Kushner's (1997) method for finding optimal repeated measurements designs to optimal designs under an interference model. The model we assume is for a onedimensional layout without guard plots and with different left and right neighbour effects. The resulting optimal designs may need many blocks or may not even exist as a finite design. The results give lower bounds for optimality criteria on finite designs, and the design structure can be used to suggest efficient small designs.
Subjects: 
Interference model
Neighbour effect
Optimal design
Universal optimality
Document Type: 
Working Paper

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