Abstract
We consider a partially balanced fractional 2m1+m2 factorial design derived from a simple partially balanced array such that all the m1 main effects (= θ10, say) and all the m2 ones (= θ01, say) are estimable, and in addition that the general mean (= θ00, say) is at least confounded (or aliased) with the factorial effects of the (2 m1) two-factor interactions (= θ20, say), the (2 m2) ones (= θ02, say) and/or the m1m2 ones ( = θ11, say), where the three-factor and higher-order interactions are assumed to be negligible, and 2 ≤ mk for k = 1,2. Furthermore optimal designs with respect to the generalized A-optimality criterion are presented for 2 ≤ m1,m2 ≤ 4 when the number of assemblies is less than the number of non-negligible factorial effects.
Similar content being viewed by others
References
Draper, N.R., Lin D.K.J., 1990. Capacity considerations for two-level fractional factorial designs. Journal of Statistical Planning and Inference, 24, 25–35.
Ghosh, S., Kuwada, M., 2001. Estimable parametric functions for balanced fractional 2m factorial designs. Statistical Research Group, Technical Report 01–7, Hiroshima University.
Kuwada, M., 1986. Optimal partially balanced fractional 2m1+m2 factorial designs of resolution IV. Annals of the Institute of Statistical Mathematics, A38, 343–351.
Kuwada, M., 1988. A-optimal partially balanced fractional 2m1+m2 factorial designs of resolution V, with 2 ≤ m1 + m2 ≤ 6. Journal of Statistical Planning and Inference, 18, 177–193.
Kuwada, M., Hyodo, Y., Yumiba, H., 2004. GA-optimal balanced fractional 2m factorial designs of resolution R*(0,1|3). Sankhyā, 66, 343–361.
Kuwada, M., Lu, S., Hyodo, Y., Taniguchi, E., 2006a. GA-optimal partially balanced fractional 2m1+m2 factorial designs of resolutions R(00,10,01,20,02|Ω) and R(00,10,01,20,11|Ω) with 2 ≤ m1,m2 ≤ 4. Journal of the Japan Statistical Society, 36, 237–259.
Kuwada, M., Lu, S., Hyodo, Y., Taniguchi, E., 2006b. GA-optimal partially balanced fractional 2m1+m2 factorial designs of resolution R(00,10,01,20|Ω) with 2 ≤ m1,m2 ≤ 4. Communications in Statistics: Theory and Methods, 35(11), 2035–2053.
Kuwada, M., Matsuura, M., 1984. Further results on partially balanced fractional 2m1+m2 factorial designs of resolution IV. Journal of the Japan Statistical Society, 14, 69–83.
Lu, S., Taniguchi, E., Hyodo, Y., Kuwada, M., 2007a. GA-optimal partially balanced fractional 2m1+m2 factorial designs of resolution R(00,10,01,11|Ω) with 2 ≤ m1 ≤ m2 ≤ 4. Scientiae Mathematicae Japonicae, 65, 81–94.
Lu, S., Taniguchi, E., Kuwada, M., Hyodo, Y., 2007b. GA-optimal partially balanced fractional 2m1+m2 factorial designs of resolution R(00,10,01|Ω) with 2 ≤ m1,m2 ≤ 4. Hiroshima Mathematical Journal, 37, 119–143.
Margolin, B.H., 1969a. Resolution IV fractional factorial designs. Journal of the Royal Statistical Society, B 31, 514–523.
Margolin, B.H., 1969b. Results on factorial designs of resolution IV for the 2n and 2n3m series. Technometrics, 11, 431–444.
Nishii, R., 1981. Balanced fractional rm × sn factorial designs and their analysis. Hiroshima Mathematical Journal, 11, 379–413.
Webb, S., 1968. Non-orthogonal designs of even resolution. Technometrics, 10, 291–299.
Yamamoto, S., Hyodo, Y., 1984. Extended concept of resolution and the designs derived from balanced arrays. TRU Mathematics, 20, 341–349.
Yamamoto, S., Shirakura, T., Kuwada, M., 1976. Characteristic polynomials of the information matrices of balanced fractional 2m factorial designs of higher (2ℓ + 1) resolution. In Ikeda, S. et al. (Eds.), Essays in Probability and Statistics, 73–94, Shinko Tsusho, Tokyo.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lu, S., Taniguchi, E., Hyodo, Y. et al. GA-optimal Partially Balanced Fractional 2m1+m2 Factorial Designs of Resolutions R({10,01} ∪ Ω* | Ω) with 2 ≤ m1, m2 ≤ 4. J Stat Theory Pract 1, 427–464 (2007). https://doi.org/10.1080/15598608.2007.10411851
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1080/15598608.2007.10411851