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1
The PX-EM algorithm for fast stable fitting of Henderson's mixed model [random regression, variance components]
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The PX-EM algorithm for fast stable fitting of Henderson's mixed model [random regression, variance components]

Foulley, J.L. (Institut National de la Recherche Agronomique, Jouy en Josas (France). Centre de Jouy, Genetique Quantitative et Appliquee) ; Van Dyck, D.A

Genetics selection evolution (Paris), 2000-03, Vol.32 (2) [Periódico revisado por pares]

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2
EM-REML estimation of covariance parameters in Gaussian mixed models for longitudinal data analysis [EM algorithm, random regression]
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EM-REML estimation of covariance parameters in Gaussian mixed models for longitudinal data analysis [EM algorithm, random regression]

Foulley, J.L. (Institut National de la Recherche Agronomique, Jouy en Josas (France). Centre de Jouy, Genetique Quantitative et Appliquee) ; Jaffrezic, F ; Robert Granie, C

Genetics selection evolution (Paris), 2000-03, Vol.32 (2) [Periódico revisado por pares]

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3
Convergence of variability in Gaussian polygenics models [covariance matrix, concavity]
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Convergence of variability in Gaussian polygenics models [covariance matrix, concavity]

Lessard, S. (Universite de Montreal (Canada). Departement de Mathematiques et de Statistique) ; Mahdi, S

Genetics selection evolution (Paris), 1995, Vol.27 (5) [Periódico revisado por pares]

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4
Mathematical methods for studying genes controlling quantitative traits
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Mathematical methods for studying genes controlling quantitative traits

Goffinet, B. (Institut National de la Recherche Agronomique, Castanet Tolosan (France). Centre de Toulouse, Biometrie et Intelligence Artificielle) ; Beckmann, J ; Boichard, D ; Causse, M ; Charcosset, A ; Chevalet, C ; Christophe, C ; Colleau, J.J ; Demenais, F ; Durel, C.E ; Elsen, J.M ; Foulley, J.L ; Gallais, A ; Goetz, K.U ; Hospital, F ; Kremer, A ; Lorieux, M ; Lefort Buson, M ; Le Roy, P ; Loisel, P ; Mangin, B ; Maurice, A ; Perrier, X ; Pons, O ; Rebai, A

Genetics selection evolution (Paris), 1994, Vol.26 [Periódico revisado por pares]

Paris (France): INRA

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