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Rectangular Lattices Revisited

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Linear Statistical Inference

Part of the book series: Lecture Notes in Statistics ((LNS,volume 35))

Summary

The intrablock analysis of rectangular lattices can be clarified by knowledge of the canonical structure of block and treatment subspaces. In this case there are natural canonical subspaces in block space having factorial structure, in contrast to the situation e.g. of balanced incomplete block designs, lattice desings and group divisible or Latin square type PBIB designs, where canonical factorial subspaces arise in treatment space. This factorial structure for the dual of a rectangular lattice and the associated canonical efficiency factors lead to a simple explicit general expression for the treatment estimator and the efficiency factor at each type of treatment comparison. Recovery of interblock information requires only slight modifications.

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References

  1. Corsten, L.C.A. (1976). Canonical correlation in incomplete blocks, In: Essays in Probability and Statistics, Shinko Tsusho, Tokyo, 125–154.

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  2. Harshbarger, B. (1947). Rectangular lattices. Virginia Agricultural Experimental Station Memoirs 1.

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  3. Williams, E.R. (1977). A note on rectangular lattice designs, Biometrics 33, 410–414.

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  4. Williams, E.R. and Ratcliff, D. (1980). A note on the analysis of lattice designs with repeats, Biometrika 67, 706–708.

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© 1985 Springer-Verlag Berlin Heidelberg

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Corsten, L.C.A. (1985). Rectangular Lattices Revisited. In: Caliński, T., Klonecki, W. (eds) Linear Statistical Inference. Lecture Notes in Statistics, vol 35. Springer, New York, NY. https://doi.org/10.1007/978-1-4615-7353-1_3

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  • DOI: https://doi.org/10.1007/978-1-4615-7353-1_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-96255-9

  • Online ISBN: 978-1-4615-7353-1

  • eBook Packages: Springer Book Archive

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