Optimal Split-Plot Designs

By Peter Goos, Martina Vandebroek. 2001

118 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/c47331d436b18494009e621292d3a35115ce9c7f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Bradley A. Jones
2. Peter Goos
3. Martina Vandebroek

In Management Science and Operations Research

1. Bradley A. Jones
2. Peter Goos
3. Martina Vandebroek
4. Ivan Langhans
5. John M. Rose
6. Michiel C. J. Bliemer
7. Roselinde Kessels
8. Alireza Doostan

Citations in the corpus

• I-Optimal Versus D-Optimal Split-Plot Response Surface Designs (2012, methodology): “Perhaps the most flexible approach to designing split-plot experiments is the optimal design approach of Goos and Vandebroek (2001, 2003, 2004) and Jones and Goos (2007), because that approach can handle any combination of number of runs and number of whole plots.”
• Practical Inference from Industrial Split-Plot Designs (2006, background): “The risks of improperly analyzing a split-plot experiment are pointed out in Kempthorne (1952), Nelson (1985), Box and Jones (1992), Davison (1995) and Ganju and Lucas (1997).”