Some results on multi-level factorial designs with dependent observations

✍ Scribed by R.J. Martin; J.A. Eccleston; G. Jones

• Publisher: Elsevier Science
• Year: 1998
• Tongue: English
• Weight: 161 KB
• Volume: 73
• Category: Article
• ISSN: 0378-3758
• DOI: 10.1016/s0378-3758(98)00054-8

✦ Synopsis

In many situations, observations in factorial experiments may be dependent. Run orders are then needed that result in e cient estimates of contrasts of interest. The theory is reasonably well understood for two-level designs under one-dimensional dependence. In this paper, we extend some results to multi-level factorial designs under one-dimensional dependence.