Outperforming Completely Randomized Designs

By Peter Goos, Martina Vandebroek. 2004

90 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/200827e27f5e545ae10e2f1ad52a63c5f165f984

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

In Management Science and Operations Research

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

In Statistics and Probability

1. Bradley A. Jones
2. Peter Goos

Citations in the corpus

• Practical Inference from Industrial Split-Plot Designs (2006, unknown): “Kenward and Roger (1997)).”
• 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.”