A NOTE ON CONSTRUCTING $2^{n}3^1$ AND $2^{1}3^3$ DESIGNS WHEN LINEAR TERMS ARE ESSENTIAL

  • LIAU PEN-HWANG (Department of Mathematics, National Kaohsiung Normal University)
  • Published : 2005.06.01

Abstract

Under the assumption that the three-level factors are quantitative, the linear effects are taken more attention than the quadratic effects of the interaction terms. Webb (1971) presented some small incomplete factorial designs that are mixed two- and three-level designs with 20 or fewer runs. The designs provided the estimating linear-by-linear components of interactions between the three-level factors; moreover, they could also offer estimation of interactions that interest the experiments. Webb used ad hoc methods to find these plans; hence, there was still no unified structure to those experiments. In this paper, we develop the methods to construct the $2^{n}3^3$ and $2^{1}3^3$ designs. The designs constructed by these methods not only supply orthogonal estimates of all the main effects but also permit estimation of all the two-factor interactions not involving the quadratic effects. Furthermore, the designs we find are nearly orthogonal.

Keywords

References

  1. ADDELMAN, S. AND KEMPTHORNE, O (1961). 'Some main-effect plans for asymmetrical factorial arrays of strength two', The Annnals of Mathematical Statistics, 32, 1167-1176 https://doi.org/10.1214/aoms/1177704855
  2. ADDELMAN, S. (1962). 'Orthogonal main-effect plans for asymmetrical factorial experiments', Technometrics, 4, 21-46 https://doi.org/10.2307/1266170
  3. BOSE, R. C. AND BUSH, K. A. (1952). 'Orthogonal arrays of strength two and three', The Annnals of Mathematical Statistics, 23, 508-524 https://doi.org/10.1214/aoms/1177729331
  4. CONNOR, W. S. (1961). Constructions of fractional factorial designs of the mixed $2^n3^m$ series, Contributions to Probability and Statistics, I. Olkin, ed. California: Standford University Press
  5. MARGOLIN, B. H. (1969). 'Orthogonal main-effect plans permitting estimation of all twofactor interactions for the $2^n3^m$ factorial series of designs', Technometrics, 11, 747-762 https://doi.org/10.2307/1266896
  6. MASUYAMA, M. (1957). 'On the difference sets for constructing orthogonal arrays of index two and strength two', Rep. Statist. Appl., JUSE, 5, 27-34
  7. WANG, J. G. AND Wu, C. F. J. (1992). 'Nearly orthogonal arrays with mixed levels and small runs', Technometrics, 34, 409-422 https://doi.org/10.2307/1268940
  8. WEBB, S. R.(1971). 'Small incomplete factorial experiment designs for two- and three-level factors', Technometrics, 13, 243-256 https://doi.org/10.2307/1266787
  9. Wu, C.F.J. AND HADAMA, M. (2000). Experiment: Planning, Analysis, And Parameter Design Optimization, John Wiley & Sons, Inc