A classical dataset from Williams, and its role in the study of supersaturated designs

Journal of Chemometrics

Volumn 22, Issue 7, 2008, Pages 436-440

  Sundberg, Rolf ^a  

^a STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

Half fraction; Log transformation; Outlier; Plackett Burman; SSD

Indexed keywords

DESIGN ANALYSIS; DESIGN MATRIX; DOMINATING FACTORS; HALF-FRACTION; LOG TRANSFORMATION; OUTLIER; PLACKETT-BURMAN; SUPERSATURATED DESIGNS; WILLIAMS;

STATISTICS;

EID: 53649109408     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.1167     Document Type: Article

References (21)

1. Williams KR. Designed experiments. Rubb. Age 1968; 100: 65-71.
2. Box GEP, Draper NR. Empirical Model Building and Response Surfaces. John Wiley: New York, 1987.
3. Box GEP, Draper NR. Response Surfaces, Mixtures, and Ridge Analysis. John Wiley: New York, 2007.
4. Sudjianto A, Wasserman GS, Sudarbo H. Genetic subsets regression. Computers Ind. Engng. 1996; 30: 839-849.
5. Lin DKJ. A new class of supersaturated designs. Technometrics 1993; 35: 28-31.
6. Holcomb DR, Montgomery DC, Carlyle WM. Analysis of supersaturated designs.J. Qual. Technol. 2003; 35: 13-27.
7. Dejaegher B, Capron X, Vander Heiden Y. Generalized FEAR method to estimate factor effects in two-level supersaturated designs J. Chemometr. 2007; 21: 303-323.
8. Abraham B, Chipman H, Vijayan K. Some risks in the construction and analysis of supersaturated designs. Technometrics 1999; 41: 135-141.
9. Wang PC. Comments on Lin (1993). (With response) Technometrics 1995; 37: 358-359.
10. Lu X, Wu X. A strategy of searching active factors in supersaturated screening experiments. J. Qual. Technol. 2004; 36: 392-399.
11. 2 efficient supersaturated designs. J. Stat. Plan. Infer. 2007; 137: 1516-1529.
12. Westfall PH, Young SS, Lin DKJ. Forward selection error control in the analysis of supersaturated designs. Statist. Sin. 1998; 8: 101-117.
13. Yamada S. Selection of active factors by stepwise regression in the data analysis of supersaturated designs. Qual. Eng. 2004; 16: 501-513.
14. Plackett RL, Burman JP. The design of optimum multifactorial experiments. Biometrika 1946; 33: 305-325.
15. Joiner BL. Lurking variables: some examples. Amer. Statistician 1981; 35: 227-233.
16. Bisgaard S, Sutherland M. Split plot experiments: Taguchi's Ina Tile experiment reanalyzed. Qual. Eng. 2003; 16: 157-164.
17. Daniel C. Applications of Statistics to Industrial Experimentation. John Wiley: New York, 1976.
18. Box GEP, Meyer RD. Analysis of unreplicated factorials allowing for possibly faulty observations. In Design, Data and Analysis, Mallows CL (ed.). Wiley: New York (Chichester, UK), 1987; 1-12.
19. Box GEP. Finding bad values in factorial designs. Qual. Eng. 1991; 3: 405-410.
20. Sundberg R. Interpretation of unreplicated two-level factorial experiments, by examples. Chemometr. Intell. Lab. Syst. 1994; 24: 1-17.
21. Carlson R. Design and Opimization in Organic Synthesis (2nd edn). Elsevier: Amsterdam, 2007.