Summary
In this paper we consider some aspects of analysis of variance and covariance theory for the complex normal distribution introduced byGoodman (1963). The properties which we consider are similar to those in the real case.Goodman (1963), andKhatri (1965) have studied several other properties of the complex normal model and have pointed out the similarity between the real and the complex case.
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References
Anderson, T. W. (1946):An Introduction to Multivariate Statistical Analysis. Wiley, New York.
Chakrabarti, M. C. (1962):Mathematics of Design and Analysis of Experiments. Bombay, India: Asia Publishing House.
Goodman, N. R. (1963): “Statistical Analysis based on a certain multivariate complex Gaussian distribution,” (An introduction).Ann. Math. Statist., 34, 152–177.
Khatri, C. G. (1965): “Classical statistical analysis based on a certain multivariate complex Gaussian distribution,”Ann. Math. Statist., 36, 98–114.
Scheffe, H. (1959):The Analysis of Variance. Wiley, New York.
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Kabe, D.G. Some aspects of analysis of variance and covariance theory for a certain multivariate complex gaussian distribution. Metrika 13, 86–97 (1968). https://doi.org/10.1007/BF02613377
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DOI: https://doi.org/10.1007/BF02613377