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The Equivalence Between Distributed and Centralized Best Linear Unbiased Estimation Fusion

2018 21st International Conference on Information Fusion (FUSION), 2018
This paper discusses the equivalence of the performance between the optimal distributed and centralized fusion based on best linear unbiased estimation (BLUE). A necessary and sufficient condition for the optimal distributed BLUE fusion to have identical performance as their centralized counterparts is obtained by setting the difference of two optimal ...
Dunbiao Niu   +3 more
openaire   +1 more source

The Equality of the Ordinary Least Squares Estimator and the Best Linear Unbiased Estimator

The American Statistician, 1989
Abstract It is well known that the ordinary least squares estimator of Xβ in the general linear model E y = Xβ, cov y = σ2 V, can be the best linear unbiased estimator even if V is not a multiple of the identity matrix. This article presents, in a historical perspective, the development of the several conditions for the ordinary least squares estimator
Simo Puntanen, George P. H. Styan
openaire   +1 more source

Conditions for Error-Free Best Linear Unbiased Estimation Without Prior

IEEE Transactions on Aerospace and Electronic Systems
X Rong Li, Zhansheng Duan, Qi Tang
exaly   +3 more sources

A Characterization of Best Linear Unbiased Estimators in the General Linear Model

1980
A characterization of best linear unbiased estimators is given in the case of the general linear model. In addition necessary and sufficient conditions are derived for a given estimable function to have a best linear unbiased estimator. In particular models for which each estimable function has a best linear unbiased estimator are characterized.
openaire   +1 more source

Best Linear Unbiased Estimation in Linear Models

2011
Simo Puntanen, George P. H. Styan
openaire   +1 more source

Numerical Analysis of the Estimate of Noise Covariance by using Best Linear Unbiased Estimate

2022 IEEE Conference on Control Technology and Applications (CCTA), 2022
Kenji Ikeda, Hideyuki Tanaka
openaire   +2 more sources

Empirical best linear unbiased predictors in multivariate nested-error regression models

Communications in Statistics - Theory and Methods, 2021
Tsubasa Itô, Tatsuya Kubokawa
exaly  

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