1 |
Deng, L. Y. and Tang, B. (2002). Design selection and classification for Hadamard matrices using generalized minimum aberration criteria. Technometric, 44, 173-184
DOI
ScienceOn
|
2 |
Ye, K. Q. (2003). Indicator function and its application in two-level factorial designs. The Annals of Statistics, 31, 984-994
DOI
|
3 |
Zhang, R. C. and Park, D. K. (2000). Optimal blocking oftwo-level fractional factorial designs. Journal of Statistical Planning and Inference, 91, 107-121
DOI
ScienceOn
|
4 |
Hamada, M. and Wu, C. F. J. (1992). Analysis of designed experiments with complex aliasing. Journal of Quality Technology, 24, 130-137
DOI
|
5 |
Tang, B. and Deng, L. Y. (1999). Minimum G2-aberration for nonregular fractional factorial designs. The Annals of Statistics, 27, 1914-1926
DOI
|
6 |
Wu, C. F. J. and Zhang, R. C. (1993). Minimum aberration designs with two-level and fourlevel factors. Biometrika, 80, 203-209
|
7 |
Cheng, S. W., Li, W. and Ye, K. Q. (2004). Blocked nonregular two-level factorial designs. Technometrics, 46, 269-279
DOI
ScienceOn
|
8 |
Cheng, S. W. and Wu, C. F. J. (2002). Choice of optimal blocking schemes in two-level and three-level designs. Technometrics, 44, 269-277
DOI
ScienceOn
|
9 |
Fries, A. and Hunter, W. G. (1980). Minimum aberration designs. Technometrics, 26, 225-232
|
10 |
Pistone, G. and Rogantin, M. P. (2007). Indicator function and complex coding for mixed fractional factorial designs. Journal of Statistical Planning and Inference, in press
|