The inefficiency of least squares in Gauss-Markov and variance component models
From MaRDI portal
Publication:1299819
DOI10.1007/BF02677416zbMath0927.62071OpenAlexW2059304475MaRDI QIDQ1299819
Publication date: 14 December 1999
Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02677416
Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Analysis of variance and covariance (ANOVA) (62J10)
Cites Work
- Unnamed Item
- Kantorovich-type inequalities and the measures of inefficiency of the GLSE
- The inefficiency of least squares: Extensions of the Kantorovich inequality
- A new bound for the Euclidean norm of the difference between the least squares and the best linear unbiased estimators
- How much do Gauss-Markov and least square estimates differ, A coordinate- free approach
- A bound for the Euclidean norm of the difference between the least squares and the best linear unbiased estimators
- The inefficiency of least squares
- On the minimum efficiency of least squares