Skip to Main Content

Transactions of the American Mathematical Society

Published by the American Mathematical Society since 1900, Transactions of the American Mathematical Society is devoted to longer research articles in all areas of pure and applied mathematics.

ISSN 1088-6850 (online) ISSN 0002-9947 (print)

The 2020 MCQ for Transactions of the American Mathematical Society is 1.48.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.

 

Matrix variate $\theta$-generalized normal distribution
HTML articles powered by AMS MathViewer

by A. K. Gupta and T. Varga PDF
Trans. Amer. Math. Soc. 347 (1995), 1429-1437 Request permission

Abstract:

In this paper, the matrix variate $\theta$-generalized normal distribution is introduced. Then its properties are studied. In particular, it is proved that this distribution has maximal entropy in a certain class of distributions.
References
    R. Goodman and S. Kotz, Multivariate $\theta$-generalized normal distributions, J. Multivariate Anal. 3 (1973), 204-219. K. Gupta and T. Varga, Characterization of matrix variate normal distributions, J. Multivariate Anal. 41 (1992), 80-88. —, Elliptically contoured models in statistics, Kluwer Academic, Dordrecht, 1993. J. Muirhead, Aspects of multivariate statistical theory, Wiley, New York, 1982.
Similar Articles
  • Retrieve articles in Transactions of the American Mathematical Society with MSC: 62H10, 60E05, 62E15
  • Retrieve articles in all journals with MSC: 62H10, 60E05, 62E15
Additional Information
  • © Copyright 1995 American Mathematical Society
  • Journal: Trans. Amer. Math. Soc. 347 (1995), 1429-1437
  • MSC: Primary 62H10; Secondary 60E05, 62E15
  • DOI: https://doi.org/10.1090/S0002-9947-1995-1277112-9
  • MathSciNet review: 1277112