On the equality of estimators under a general partitioned linear model with parameter restrictions

Author:

Jiang Bo,Sun Yuqin

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference29 articles.

1. Alalouf IS, Styan GPH (1979) Characterizations of estimability in the general linear model. Ann Stat 7:194–200

2. Alalouf IS, Styan GPH (1984) Characterizations of the conditions for the ordinary least squares estimator to be best linear unbiased. Chaubey YP, Dwivedi TD (Eds), Topics in Applied Statistics, Department of Mathematics, Concordia University, Montréal, pp 331–344

3. Baksalary JK, Kala R (1977) An extension of a rank criterion for the least squares estimator to be the best linear unbiased estimator. J Stat Plann Inference 1:309–312

4. Baksalary JK, Puntanen S (1990) Characterizations of the best linear unbiased estimator in the general Gauss–Markov model with the use of matrix partial orderings. Linear Algebra Appl 127:363–370

5. Baksalary JK, Puntanen S, Styan GPH (1990) On T.W. Anderson’s contributions to solving the problem of when the ordinary least-squares estimator is best linear unbiased and to characterizing rank additivity of matrices. In: Styan GPH (ed) The Collected Papers of T.W. Anderson: 1943–1985. vol 2, pp 1579–1591. Wiley, New York

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