Construction of crossover designs with correlated errors
Crossover experiments are widely used, particularly where a sequence of treatments is given to subjects. Correlations between observations on the same subject are therefore likely and should be considered in both the design and analysis of crossover experiments. This paper presents an algorithm for the generation of efficient crossover designs with autoregressive and linear variance structures. The algorithm has been implemented as a module in the experimental design generation package...[Show more]
|Collections||ANU Research Publications|
|Source:||Australian and New Zealand Journal of Statistics|
|01_Williams_Construction_of_crossover_2007.pdf||71.09 kB||Adobe PDF||Request a copy|
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