Maximum likelihood analysis of the mixed model: the balanced case

Maximum likelihood analysis of the mixed model: the balanced case

The primary purpose of this paper is to develop, analytically, the inverse of the covariance matrix for the mixed analysis-of-variance model with balanced data. The use of this matrix in the identification of minimal sufficient statistics and in developing the likelihood equations is illustrated.

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Veröffentlicht in:Communications in statistics. Theory and methods 1978-01, Vol.7 (13), p.1253-1266
Hauptverfasser: Smith, David W., Hocking, R.R.
Format: Artikel
Sprache:eng
Schlagworte:
covariance
variance components
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Beschreibung
Zusammenfassung:The primary purpose of this paper is to develop, analytically, the inverse of the covariance matrix for the mixed analysis-of-variance model with balanced data. The use of this matrix in the identification of minimal sufficient statistics and in developing the likelihood equations is illustrated.
ISSN:0361-0926
1532-415X
DOI:10.1080/03610927808827709