The optimal design of blocked and split-plot experiments

By Peter Goos. 2002

92 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/036bdfafc19afa0886d014e59cabae52e0e1822f

How researchers see this paper

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

In Industrial and Manufacturing Engineering

1. Bradley A. Jones
2. Martina Vandebroek
3. Bart Vermeulen
4. Peter Goos

In Management Science and Operations Research

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

Citations in the corpus

• Models and Optimal Designs for Conjoint Choice Experiments Including a No-Choice Option (2008, methodology): “The most widely used of these is the D-optimality criterion which offers the advantage that the relative performance of different experimental designs with respect to it is independent of the coding strategy or scale used ( Goos (2002) ).”
• Practical Inference from Industrial Split-Plot Designs (2006, background): “A summary of some of the recent work on split-plot designs can be found in Goos (2002) .”
• D-optimal design of split-split-plot experiments (2009, methodology): “The D-optimality criterion has been used for constructing split-plot designs by Goos & Vandebroek (2001, 2003, 2004) and Goos & Donev (2007) and it is also (2) (3) (4)”