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On the Connectivity Problem for m-Way Designs

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Abstract

The problem of ascertaining conditions that ensure that an m-way design is connected has occupied the attention of research workers for very many years. One of the significant advances, as well as one of the earliest contributions, was provided by the classic work of J. N. Srivastava and D. A. Anderson in 1970, which gives a necessary and sufficient rank condition for an m-way design to be completely connected. In this article it is shown that the class of estimable parametric functions for an individual factor is derived directly from a simple extension of the Srivastava-Anderson result. This takes the form of a necessary and sufficient rank condition that is expressed in terms of the dimension of a segregated component of the kernel of the design matrix. The result has the interesting property that the connectivity status for all of the individual factors can be found simultaneously. Furthermore, it enables the formulation of several general results, which include the specification of conditions on designs exhibiting adjusted orthogonality. A number of examples are given to illustrate these results.

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References

  • Bérubé, J., and G. P. H. Styan. 1993. Decomposable three-way layouts. J. Stat. Plan. Inference, 36, 311–322.

    Article  MathSciNet  Google Scholar 

  • Birkes, D., Y. Dodge, and J. Seely. 1976. Spanning sets for estimable contrasts in classification models. Ann. Stat., 4, 86–107.

    Article  MathSciNet  Google Scholar 

  • Bose, R.C. 1944. The fundamental theorem in linear estimation. Proc. 31st Ind. Sci. Congress, 2–3 (abstract).

  • Butz, L. 1982. Connectivity in multi-factor designs. Berlin, Germany: Heldermann Verlag.

    MATH  Google Scholar 

  • Ceranka, B., and M. Kozlowska. 1991. Connectedness of row and column designs. Zast. Mat. Appl. Math. 21, 27–31.

    MathSciNet  MATH  Google Scholar 

  • Chakrabarti, M. C. 1963. On the C-matrix in design of experiments. J. Indian Stat. Assoc., 1, 23.

    MathSciNet  Google Scholar 

  • Christensen, R. 2002. Plane answers to complex questions, 3rd ed. New York, NY, Springer.

    Book  Google Scholar 

  • Dodge, Y. 1985. Analysis of experiments with missing data. New York, NY, Wiley.

    MATH  Google Scholar 

  • Eccleston, J., and A. S. Hedayat. 1974. On the theory of connected designs: Characterisation and optimality. Ann. Stat., 2, 1238–1255.

    Article  Google Scholar 

  • Eccleston, J., and K. Russell. 1975. Connectedness and orthogonality in multi-factor designs. Biometrika, 62, 341–345.

    Article  MathSciNet  Google Scholar 

  • Eccleston, J., and K. Russell. 1977. Adjusted orthogonality in non-orthogonal designs. Biometrika, 64, 339–345.

    Article  MathSciNet  Google Scholar 

  • Ghosh, S. 1986. On a new graphical method of determining the connectedness in three dimensional designs. Sankya, B 48, 207–215.

    MathSciNet  MATH  Google Scholar 

  • Godolphin, J. D. 2004. Simple pilot procedures for the avoidance of disconnected experimental designs. Appl. Stat., 53, 133–147.

    MathSciNet  MATH  Google Scholar 

  • Godolphin, J. D., and E. J. Godolphin. 2001. On the connectivity of row-column designs. Util. Math., 60, 51–65.

    MathSciNet  MATH  Google Scholar 

  • Harville, D. A. 1997. Matrix algebra from a statistician’s perspective. New York, NY, Springer.

    Book  Google Scholar 

  • John, J.A., and E. R. Williams, 1995. Cyclic and computer generated designs, 2nd ed. London, UK, Chapman and Hall.

    Book  Google Scholar 

  • Katyal, V., and S. Pal. 1991. Analysis and connectedness of four-dimensional designs. J. Indian Soci. Agri. Stat., 43, 296–309.

    MathSciNet  Google Scholar 

  • Park, D. K., and A. M. Dean. 1990. Average efficiency factors and adjusted orthogonality in multidimensional designs. J. R. Stat. Soc., Ser. B, 52, 361–368.

    MathSciNet  MATH  Google Scholar 

  • Park, D.K., and K. R. Shah. 1995. On the connectedness of row-column designs. Commun. Stat., 24, 87–96.

    Article  MathSciNet  Google Scholar 

  • Preece, D.A. 1996. Multifactor balanced designs with complete adjusted orthogonality for all pairs of treatment factors. Aust. J. Stat., 38, 223–230.

    Article  Google Scholar 

  • Raghavarao, D., and W. T. Federer. 1975. On connectedness in two-way elimination of heterogeneity designs. Ann. Stat., 2, 730–735.

    Article  MathSciNet  Google Scholar 

  • Searle, S. R. 1987. Linear models for unbalanced data. New York, NY, Wiley.

    MATH  Google Scholar 

  • Sengupta, D., and S. R. Jammalamadaka. 2003. Linear models: an integrated approach. London, UK, World Scientific.

    Book  Google Scholar 

  • Shah, K. R., and Y. Dodge. 1977. On the connectedness of designs. Sankya, B 39, 284–287.

    MathSciNet  MATH  Google Scholar 

  • Shah, K. R., and C. G. Khatri. 1973. Connectedness in row-column designs. Commun. Stat., 2, 571–573.

    Article  MathSciNet  Google Scholar 

  • Srivastava, J. N., and D. A. Anderson. 1970. Some basic properties of multidimensional partially balanced designs. Ann. Math. Stat., 41, 1438–1445.

    Article  MathSciNet  Google Scholar 

  • Wynn, H. P. 2008. Algebraic solutions to the connectivity problem for m-way layouts: Interaction-contrast aliasing. J. Stat. Plan. Inference, 138, 259–271.

    Article  MathSciNet  Google Scholar 

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Correspondence to J. D. Godolphin.

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Godolphin, J.D. On the Connectivity Problem for m-Way Designs. J Stat Theory Pract 7, 732–744 (2013). https://doi.org/10.1080/15598608.2013.782193

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  • DOI: https://doi.org/10.1080/15598608.2013.782193

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