Skip to main content
padlock icon - secure page this page is secure

CONSTRUCTION OF CROSSOVER DESIGNS WITH CORRELATED ERRORS

Buy Article:

$52.00 + tax (Refund Policy)

Summary

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 CycDesigN (Release 3.0; CycSoftware, Hamilton, New Zealand). Output from the algorithm is compared with earlier work. Some results are given from the analysis of a crossover experiment assuming correlated errors.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: CycDesigN; autoregressive variance structure; crossover experiments; experimental design and analysis; linear variance structure

Document Type: Research Article

Affiliations: The University of Waikato

Publication date: March 1, 2007

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more