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The Equivalence Between Distributed and Centralized Best Linear Unbiased Estimation Fusion
2018 21st International Conference on Information Fusion (FUSION), 2018This 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
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The Equality of the Ordinary Least Squares Estimator and the Best Linear Unbiased Estimator
The American Statistician, 1989Abstract 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
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Conditions for Error-Free Best Linear Unbiased Estimation Without Prior
IEEE Transactions on Aerospace and Electronic SystemsX Rong Li, Zhansheng Duan, Qi Tang
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A Characterization of Best Linear Unbiased Estimators in the General Linear Model
1980A 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.
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When is an Expectile the Best Linear Unbiased Estimator?
SSRN Electronic Journal, 2021openaire +1 more source
Best Linear Unbiased Estimation in Linear Models
2011Simo Puntanen, George P. H. Styan
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Numerical Analysis of the Estimate of Noise Covariance by using Best Linear Unbiased Estimate
2022 IEEE Conference on Control Technology and Applications (CCTA), 2022Kenji Ikeda, Hideyuki Tanaka
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Empirical best linear unbiased predictors in multivariate nested-error regression models
Communications in Statistics - Theory and Methods, 2021Tsubasa Itô, Tatsuya Kubokawa
exaly

