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Article

Properties of BLUEs in full versus small linear models

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Pages 7684-7698 | Received 12 Aug 2021, Accepted 09 Mar 2022, Published online: 29 Mar 2022

References

  • Groß, J., and S. Puntanen. 2000. Estimation under a general partitioned linear model. Linear Algebra and Its Applications 321, 131–44. doi:10.1016/S0024-3795(00)00028-8.
  • Güler, N., S. Puntanen, and H. Özdemir. 2014. On the BLUEs in two linear models via C.R. Rao’s Pandora’s Box. Communications in Statistics - Theory and Methods, 5, 43, 921–31. doi:10.1080/03610926.2013.826366.
  • Haslett, S. J. 1996. Updating linear models with dependent errors to include additional data and/or parameters. Linear Algebra and Its Applications 237(238):329–49.
  • Haslett, S. J., A. Markiewicz, and S. Puntanen. 2020. Properties of BLUEs and BLUPs in full vs. small linear models with new observations. In Recent developments in multivariate and random matrix analysis: Festschrift in honour of Dietrich von Rosen, eds. T. Holgersson and M. Singull, 123–46. Cham: Springer.
  • Haslett, S. J., and S. Puntanen. 2010. Effect of adding regressors on the equality of the BLUEs under two linear models. Journal of Statistical Planning and Inference 140, 104–10. doi:10.1016/j.jspi.2009.06.010.
  • Lu, C., S. Gan, and Y. Tian. 2015. Some remarks on general linear model with new regressors. Statistics & Probability Letters, 97, 16–24. doi:10.1016/j.spl.2014.10.015.
  • Markiewicz, A, and S. Puntanen. 2019. Further properties of the linear sufficiency in the partitioned linear model. In Matrices, statistics and big data, eds. S. E. Ahmed, F. Carvalho and S. Puntanen, 1–22. Cham: Springer.
  • Marsaglia, G, and G. P. H. Styan. 1974. Equalities and inequalities for ranks of matrices. Linear Multilinear Algebra 2:269–92.
  • Mitra, S. K, and B. J. Moore. 1973. Gauss–Markov estimation with an incorrect dispersion matrix. Sankhyā Series A 35:139–52.
  • Puntanen, S., G. P. H. Styan, and J. Isotalo. 2011. Matrix tricks for linear statistical models: our personal top twenty. Heidelberg: Springer.
  • Rao, C. R. 1973. Representations of best linear estimators in the Gauss–Markoff model with a singular dispersion matrix. Journal of Multivariate Analysis 3, 276–92. doi:10.1016/0047-259X(73)90042-0.
  • Rao, C. R. 1974. Projectors, generalized inverses and the BLUE’s. Journal of the Royal Statistical Society: Series B 36:442–8.
  • Rao, C. R, and S. K. Mitra. 1971. Generalized inverse of matrices and its applications. New York: Wiley.
  • Sengupta, D, and S. R. Jammalamadaka. 2003. Linear models: An integrated approach. River Edge: World Scientific.
  • Tian, Y. 2013. On properties of BLUEs under general linear regression models. Journal of Statistical Planning and Inference 43, 771–82. doi:10.1016/j.jspi.2012.10.005.
  • Tian, Y., and X. Zhang. 2016. On connections among OLSEs and BLUEs of whole and partial parameters under a general linear model. Statistics & Probability Letters 112, 105–12. doi:10.1016/j.spl.2016.01.019.
  • Werner, H.J., and C. Yapar. 1996. A BLUE decomposition in the general linear regression model. Linear Algebra and its Applications 237-238, 395–404. doi:10.1016/0024-3795(95)00542-0.