Distribution of Sum of Squares and Products Matrices for the Generalized Multilinear Matrix-T Model
The generalized multilinear model with the matrix-T error distribution is introduced in this paper. The sum of squares and products (SSP) matrix, as a counterpart of the Wishart matrix for the multinormal model, and the regression matrix for the errors and the observed as well as future responses are defined. The distributions of the regression matrix as well as the SSP matrix, and the prediction distribution of the future regression matrix and the future SSP matrix are derived.
Year of publication: |
2002
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Authors: | Khan, Shahjahan |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 83.2002, 1, p. 124-140
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Publisher: |
Elsevier |
Keywords: | generalized multilinear model matrix-T distribution sum of squares and products matrix regression matrix prediction distribution Wishart distribution invariant differentials generalized beta and gamma distributions |
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