Upper Bounds for the Euclidean Distances Between the BLUEs Under the Partitioned Linear Fixed Model and the Corresponding Mixed Model
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2310-6_3
Reference20 articles.
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2. Baksalary JK, Kala R (1980) A new bound for the Euclidean norm of the difference between the least squares and the best linear unbiased estimators. Ann Stat 8:679–681. http://dx.doi.org/10.1214/aos/1176345018
3. Ben-Israel A, Greville TNE (2003) Generalized inverses: theory and applications. Springer, Heidelberg. http://dx.doi.org/10.1007/b97366
4. Groß J, Trenkler G (1998) On the equality of linear statistics in general Gauss-Markov Model. In: Mukherjee SP, Basu SK, Sinha BK (eds) Front Probab Stat. Narosa Publishing House, New Delhi, pp 189–194
5. Haberman SJ (1975) How much do Gauss–Markov and least square estimates differ? A coordinate-free approach. Ann Stat 3:982–990. http://dx.doi.org/10.1214/aos/1176343201
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