Projective three-level main effects designs robust to model uncertainty

By Pi-Wen Tsai, Steven G. Gilmour, R. Mead. 2000

57 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/0862a628fcb1662aa94334ce878b40bc946897e3

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. Man Nguyen
2. Bradley A. Jones
3. Pieter T. Eendebak
4. Eric D. Schoen

In Management Science and Operations Research

1. Man Nguyen
2. Bradley A. Jones
3. Pieter T. Eendebak
4. Eric D. Schoen

In Statistics and Probability

1. Man Nguyen
2. Bradley A. Jones
3. Pieter T. Eendebak
4. Christopher J. Nachtsheim
5. Eric D. Schoen

Citations in the corpus

• A Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order Effects (2011, background): “The approach of Tsai et al. (2000) (TGM) is also related.”
• Complete enumeration of pure‐level and mixed‐level orthogonal arrays (2009, methodology): “For growing run-size, element-wise addition has advantages over addition of a new column balanced for the first t− 1 columns ([26], [25], [9]).”