A note on comparing the unrestricted and restricted least-squares estimators
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Publication:912546
DOI10.1016/0024-3795(90)90350-LzbMath0698.62067MaRDI QIDQ912546
Jerzy K. Baksalary, Pawel R. Pordzik
Publication date: 1990
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
invariance propertyweight matricesordinary least-squares estimatorcomparison of estimatorsnormal linear regression modelregion of uncertaintyrestricted least-squares estimatorweighted quadratic risk
Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Basic linear algebra (15A99)
Related Items (5)
Estimation in singular linear models with stepwise inclusion of linear restrictions ⋮ Characterizing Relationships Between Estimations Under a General Linear Model with Explicit and Implicit Restrictions by Rank of Matrix ⋮ Robust estimation in restricted linear regression ⋮ On pre-test estimation of parametric functions in the general Gauss-Markov model with quadratic risk ⋮ On the equivalence of the BLUEs under a general linear model and its restricted and stochastically restricted models
Cites Work
- Bounds for eigenvalues using traces
- Nonnegative definite and positive definite solutions to the matrix equationAXA*=B
- Wallace's Weak Mean Square Error Criterion for Testing Linear Restrictions in Regression: A Tighter Bound
- A Test of the Mean Square Error Criterion for Restrictions in Linear Regression
- Weaker Criteria and Tests for Linear Restrictions in Regression
- Note on the Extension of Craig's Theorem to Non-Central Variates
- Inequalities: theory of majorization and its applications
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