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Graphical Methods for Evaluating Supersaturated Designs
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 Title & Authors
Graphical Methods for Evaluating Supersaturated Designs
Kim, Youn-Gil; Jang, Dae-Heung;
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 Abstract
The orthogonality is an important property in the experimental designs. We usually use supersaturated designs in case of large factors and small runs. These supersaturated designs do not satisfy the orthogonality. Hence, we need the means for the evaluation of the degree of the orthogonality of given supersaturated designs. We usually use the numerical measures as the means for evaluating the degree of the orthogonality of given supersaturated designs. We can use the graphical methods for evaluating the degree of the orthogonality of given supersaturated designs.
 Keywords
Supersaturated designs;orthogonality;orthogonality evaluation scatterplot matrix;r-plot;
 Language
Korean
 Cited by
1.
실험계획의 시각화,장대흥;

응용통계연구, 2011. vol.24. 5, pp.893-904 crossref(new window)
1.
Visualization for Experimental Designs, Korean Journal of Applied Statistics, 2011, 24, 5, 893  crossref(new windwow)
 References
1.
장대흥 (2004). 근사직교배열의 직교성의 정도를 평가하기 위한 그래픽방법, <품질경영학회지>, 32, 220-228.

2.
Balkin, S. D. and Lin, D. K. J. (1998). A graphical comparison of supersaturated designs, Communications in Statistics-Theory and Methods, 27, 1289-1303. crossref(new window)

3.
Booth, K. H. V. and Cox, D. R. (1962). Some systematic supersaturated designs, Technometrics, 4, 489-495. crossref(new window)

4.
Bruno, M. C., Dobrijevic, M., Luu, P. T. and Sergent, M. (2009). A new class of supersaturated designs: Application to a sensitivity study of a photochemical model, Chemometrics and Intelligent Laboratory Systems, 95, 86-93. crossref(new window)

5.
Butler, N. A. (2009). Two-level supersaturated designs for $2^k$ runs and other cases, Journal of Statistical Planning and Inference, 139, 23-29. crossref(new window)

6.
Cela, R., Martinez, E. and Carro, A. M. (2000). Supersaturated experimental designs: New approaches to building and using it, Part I. Building optimal supersaturated designs by means of evolutionary algorithms, Chemometrics and Intelligent Laboratory Systems, 52, 167-182. crossref(new window)

7.
Cela, R., Martinez, E. and Carro, A. M. (2001). Supersaturated experimental designs: New approaches to building and using it, Part II. Solving supersaturated designs by genetic algorithms, Chemometrics and Intelligent Laboratory Systems, 57, 75-92. crossref(new window)

8.
Jang, D. H. (2002). Measures for evaluating non-orthogonality of experimental designs, Communications in Statistics-Theory and Methods, 31, 249-260. crossref(new window)

9.
Jones, B. A., Nachtsheim, C. J. and Ye, K. Q. (2009). Model-robust supersaturated and partially supersaturated designs, Journal of Statistical Planning and Inference, 139, 45-53. crossref(new window)

10.
Koukouvinos, C. and Mylona, K. (2009). Group screening method for the statistical analysis of $E(f_{NOD})-optimal$ mixed-level supersaturated designs, Statistical Methodology, 6, 380-388. crossref(new window)

11.
Koukouvinos, C., Mylona, K. and Simos, D. E. (2009). A hybrid SAGA algorithm for the construction of $E(s^2)-optimal$ cyclic supersaturated designs, Statistical Methodology, 6, 380-388. crossref(new window)

12.
Li, W. W. and Wu, C. F. J. (1997). Columnwise-pairwise algorithms with applications to the construction of supersaturated designs, Technometrics, 39, 171-179. crossref(new window)

13.
Lin, D. K. J. (1995). Generating systematic supersaturated designs, Technometrics, 37, 213-225. crossref(new window)

14.
Liu, M. Q. and Zhang L. (2009). An algorithm for constructing mixed-level k-circulant supersaturated designs, Computational Statistics and Data Analysis, 53, 2465-2470. crossref(new window)

15.
Phoa, F. K. H., Pan, Y. H. and Xu, H. (2009). Analysis of supersaturated designs via Danzig selector, Journal of Statistical Planning and Inference, 139, 2362-2372. crossref(new window)

16.
Rais, F., Kamoun, A., Chaabouni, M., Bruno, C., Luu, P. T. and Sergent, M. (2009). Supersaturated design for screening factors influencing the preparation of sulfated amides of olive pomace oil fatty acids, Chemometrics and Intelligent Laboratory Systems, 99, 71-78. crossref(new window)

17.
Sarkar, A., Lin, D. K. J. and Chatterjee, K. (2009). Probability of correct model identification in supersaturated designs, Statistics and Probability Letters, 79, 1224-1230. crossref(new window)

18.
Wu, C. F. J. (1993). Construction of supersaturated designs through partially aliased interactions, Biometrika, 80, 661-669. crossref(new window)