Equality of BLUEs or BLUPs under two linear models using stochastic restrictions
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DOI: 10.1007/s00362-009-0219-7
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Cited by:
- Yongge Tian & Wenxing Guo, 2016. "On comparison of dispersion matrices of estimators under a constrained linear model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 623-649, November.
- Stephen Haslett & Simo Puntanen, 2011. "On the equality of the BLUPs under two linear mixed models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 74(3), pages 381-395, November.
- Tian, Yongge & Zhang, Xuan, 2016. "On connections among OLSEs and BLUEs of whole and partial parameters under a general linear model," Statistics & Probability Letters, Elsevier, vol. 112(C), pages 105-112.
- B. Arendacká & S. Puntanen, 2015. "Further remarks on the connection between fixed linear model and mixed linear model," Statistical Papers, Springer, vol. 56(4), pages 1235-1247, November.
- S. Haslett & S. Puntanen & B. Arendacká, 2015. "The link between the mixed and fixed linear models revisited," Statistical Papers, Springer, vol. 56(3), pages 849-861, August.
- Liu, Xin & Wang, Qing-Wen, 2013. "Equality of the BLUPs under the mixed linear model when random components and errors are correlated," Journal of Multivariate Analysis, Elsevier, vol. 116(C), pages 297-309.
- Ren, Xingwei, 2014. "On the equivalence of the BLUEs under a general linear model and its restricted and stochastically restricted models," Statistics & Probability Letters, Elsevier, vol. 90(C), pages 1-10.
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Keywords
BLUE; BLUP; Generalized inverse; Linear fixed effects model; Linear mixed effects model; Stochastic restrictions; 62J05; 62F10;All these keywords.
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Statistics
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