The additive and block decompositions about the WLSEs of parametric functions for a multiple partitioned linear regression model
From MaRDI portal
Publication:476225
DOI10.1016/j.jmva.2014.09.009zbMath1302.62156OpenAlexW2056093540MaRDI QIDQ476225
Publication date: 28 November 2014
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2014.09.009
bluematrix rank methodMoore-Penrose inverse of matrixmultiple partitioned linear modelparametric functionsWLSEs
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On equalities of estimations of parametric functions under a general linear model and its restricted models
- Weighted least-squares estimators of parametric functions of the regression coefficients under a general linear model
- On an additive decomposition of the BLUE in a multiple-partitioned linear model
- A note on the equality of the OLSE and the BLUE of the parametric function in the general Gauss-Markov model
- Projections under seminorms and generalized Moore Penrose inverses
- Characterizations of estimability in the general linear model
- On a partitioned linear model and some associated reduced models
- Representations of best linear unbiased estimators in the Gauss-Markoff model with a singular dispersion matrix
- The maximal and minimal ranks of \(A - BXC\) with applications
- Estimation under a general partitioned linear model
- The maximal and minimal ranks of some expressions of generalized inverses of matrices
- A BLUE decomposition in the general linear regression model
- On relations between weighted least-squares estimators of parametric functions under a general partitioned linear model and its small models
- On equality and proportionality of ordinary least squares, weighted least squares and best linear unbiased estimators in the general linear model
- A property of partitioned generalized regression
- The Restricted Singular Value Decomposition: Properties and Applications
- On additive and block decompositions of WLSEs under a multiple partitioned regression model
- On Sum Decompositions of Weighted Least-Squares Estimators for the Partitioned Linear Model
- THREE RANK FORMULAS ASSOCIATED WITH THE COVARIANCE MATRICES OF THE BLUE AND THE OLSE IN THE GENERAL LINEAR MODEL
This page was built for publication: The additive and block decompositions about the WLSEs of parametric functions for a multiple partitioned linear regression model