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On the asymptotic distribution of Gower'sm2 goodness-of-fit criterion in a particular case

  • A. W. Davis
Article

Key words

Multivariate analysis Gower's goodness-of-fit criterion Asymptotic distribution Non-central Wishart distribution Canonical analysis 

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References

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    Gower, J. C. (1966). Some distance properties of latent and vector methods used in multivariate analysis,Biometrika,53, 325–338.MathSciNetCrossRefGoogle Scholar
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    Gower, J. C. (1971). Statistical methods of comparing different multivariate analyses of the same data,Mathematics in the Archaeological and Historical Sciences, Hodson, F. R., Kendall, D. G., and Tautu, P. (Eds.), Edinburgh University Press, 138–149.Google Scholar
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    Gower, J. C. (1975). Generalized Procrustes Analysis,Psychometrika,40, (in the press).Google Scholar
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    Jensen, D. R. (1972). The limiting form of the non-central Wishart distribution,Aust. J. Statist.,14, 10–16.MathSciNetCrossRefGoogle Scholar
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    Johnson, N. L. and Kotz, S. (1970).Distributions in Statistics: Continuous Univariate Distributions-2, Hougton Mifflin, Boston.zbMATHGoogle Scholar
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    Johnson, N. L. and Kotz, S. (1972).Distributions in Statistics: Continuous Multivariate Distributions, Wiley, New York.zbMATHGoogle Scholar
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    Nelder, J. A. and Members of the Rothamsted Statistics Department (1975).Genstat Reference Manual, Inter-University/Research Council Series, Report No. 3, Third Edition, Edinburgh Regional Computing Centre.Google Scholar
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    Seal, H. (1974).Multivariate Statistical Analysis for Biologists, Methuen, London.zbMATHGoogle Scholar

Copyright information

© The Institute of Statistical Mathematics, Tokyo 1978

Authors and Affiliations

  • A. W. Davis
    • 1
  1. 1.CSIRO Division of Mathematics and StatisticsAdelaide

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