Comparing the BLUEs Under Two Linear Models
Author:
Publisher
Informa UK Limited
Subject
Statistics and Probability
Link
http://www.tandfonline.com/doi/pdf/10.1080/03610926.2011.594541
Reference40 articles.
1. The Gauss–Markov Theorem for Regression Models with Possibly Singular Covariances
2. Criteria for the equality between ordinary least squares and best linear unbiased estimators under certain linear models
3. An elementary development of the equation characterizing best linear unbiased estimators
4. A Bound for the Euclidean Norm of the Difference Between the Least Squares and the Best Linear Unbiased Estimators
5. A New Bound for the Euclidean Norm of the Difference Between the Least Squares and the Best Linear Unbiased Estimators
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