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The General Multivariate Gauss-Markov Model of the Incomplete Block Design

Wiktor Oktaba

Australian & New Zealand Journal of Statistics, 2003, vol. 45, issue 2, pages 195-205

Abstract: The aim of the paper is to generalize testing and estimation for the multivariate standard incomplete block model (Rao & Mitra, 1971a) to the general multivariate Gauss-Markov incomplete block model with singular covariance matrix. The results of this paper can be applied to particular cases of the multivariate Gauss-Markov incomplete block model, including the Zyskind-Martin model. Copyright 2003 Australian Statistical Publishing Association Inc..

Date: 2003
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Australian & New Zealand Journal of Statistics is edited by Chris J. Lloyd, Rob J. Hyndman and Russell B. Millar

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