A characterization of Dirichlet distributions
[1], 641-643) have given a characterization of the Dirichlet distributions based on the properties of independence of various functions of the random variables (X1, X2, ..., Xk) having a joint continuous distribution over the k-dimensional simplex: 0 <= x1 <= [Sigma] xi <= 1. In this paper we provide a further characterization of this family of distributions essentially based on the properties of linear regression. Some extra conditions have been imposed and these are indeed indispensable.
Year of publication: |
1988
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Authors: | Rao, B. V. ; Sinha, Bikas K. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 25.1988, 1, p. 25-30
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Publisher: |
Elsevier |
Subject: | Dirichlet distributions linearity of regression |
Saved in:
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