Wishart distributions in the multivariate Gauss-Markoff model with singular covariance matrix
Applications of Mathematics, Tome 38 (1993) no. 1, pp. 61-66

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MR Zbl
This paper concerns generalized quadratic forms for the multivariate case. These forms are used to test linear hypotheses of parameters for the multivariate Gauss-Markoff model with singular covariance matrix. Distributions and independence of these forms are proved.
This paper concerns generalized quadratic forms for the multivariate case. These forms are used to test linear hypotheses of parameters for the multivariate Gauss-Markoff model with singular covariance matrix. Distributions and independence of these forms are proved.
DOI : 10.21136/AM.1993.104534
Classification : 62H10, 65H15
Keywords: inultivariate general linear Gauss-Markoff model; Wishart distribution; multinormal distribution; set of linear estimable parametric functions; quadratic form; singular covariance matrix
Oktaba, Wiktor; Kieloch, Andrzej. Wishart distributions in the multivariate Gauss-Markoff model with singular covariance matrix. Applications of Mathematics, Tome 38 (1993) no. 1, pp. 61-66. doi: 10.21136/AM.1993.104534
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