Summary
Goodman [1963] generalized the real normal multivariate model to the complex case.Goodman [1963], andKhatri [1965] derived the sampling distribution theory underlying this model. The present paper generalizes the complex multivariate normal theory to the hypercomplex case. The hypercomplex case studied here includes Hamilton's quaternions, biquaternions, octonions, and bioctonions. It is shown that the complex case results straightforwardly generalize to the hypercomplex case.
Similar content being viewed by others
References
Goodman, N.R.: Statistical analysis based on a certain multivariate complex Gaussian distribution. An Introduction. Ann. Math. Statist.34, 1963, 152–176.
Halberstam, H., andR.E. Ingram: The Mathematical Papers of Sir William Hamilton. Vol. III. London 1967.
Kabe, D.G.: On some inequalities satisfied by beta and gamma functions. South African Statist J.12, 1978, 25–31.
Khatri, C.G.: Classical statistical analysis based on a certain multivariate complex Gaussian distribution., Ann. Math. Statist.36, 1965, 98–114.
Krishnaiah, P.R.: Some recent developments on complex multivariate distributions. J. Multi. Anal.6, 1976, 1–30.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Kabe, D.G. Classical statistical analysis based on a certain hypercomplex multivariate normal distribution. Metrika 31, 63–76 (1984). https://doi.org/10.1007/BF01915185
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/BF01915185