Factorial Experiments When Factor Levels are Not Necessarily Reset

By Derek Webb, J. Lucas, John J. Borkowski. 2004

51 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1841c57884530893c9ccd16de4acf7540ef60536

How researchers see this paper

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

In Analytical Chemistry

1. Robert W. Mee
2. Martina Vandebroek
3. Peter Goos
4. Ivan Langhans

In Management Science and Operations Research

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

In Statistics and Probability

1. Peter Goos
2. Robert W. Mee
3. Martina Vandebroek
4. Ivan Langhans
5. Bradley A. Jones

Citations in the corpus

• A Comprehensive Guide to Factorial Two-Level Experimentation (2009, methodology): “Wu et al. (2005) computed a mean square error of 0.”
• Practical Inference from Industrial Split-Plot Designs (2006, methodology): “The fact that 81 is partially confounded with the whole-plot errors is a direct consequence of how the design analyzed in Webb et al. (2004) was arranged in one whole plot of size three and three whole plots of size four.”