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Antedependence models in the analysis of multi-group high-dimensional data

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  • W. J. Krzanowski

Abstract

Antedependence modelling has previously been shown to be useful for twogroup discriminant analysis of high-dimensional data. In this paper, the theory of such models is extended to multi-group discriminant analysis and to canonical variate analysis for data display. The application of antedependence models of orders 1, 2 and 3 to spectroscopic analyses of rice samples is described, and the results are compared with those from standard methods based on principal component scores calculated from the data.

Suggested Citation

  • W. J. Krzanowski, 1999. "Antedependence models in the analysis of multi-group high-dimensional data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(1), pages 59-67.
    • Handle: RePEc:taf:japsta:v:26:y:1999:i:1:p:59-67
    DOI: 10.1080/02664769922656
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    1. W. J. Krzanowski & P. Jonathan & W. V. McCarthy & M. R. Thomas, 1995. "Discriminant Analysis with Singular Covariance Matrices: Methods and Applications to Spectroscopic Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 44(1), pages 101-115, March.
    2. Michael G. Kenward, 1987. "A Method for Comparing Profiles of Repeated Measurements," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(3), pages 296-308, November.
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