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

Wiktor Oktaba

Australian & New Zealand Journal of Statistics, 2003, vol. 45, issue 2, 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.

Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:bla:anzsta:v:45:y:2003:i:2:p:195-205

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