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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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Best Linear Unbiased Estimation of Location and Scale Parameters
1999Let us now assume that we have a random sample of size n, X 1, X 2,…, X n , from a three-parameter lognormal distribution [obtained by introducing location and scale parameters in (2.3)] with probability density function $$ \begin{gathered} f(x|\mu ,\sigma ,k) \hfill \\ \,\,\,\,\,\, = \frac{1}{{\left( {{{(k - 1)}^{{\raise0.7ex\hbox{${ - 1 ...
N. Balakrishnan, William W. S. Chen
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Modified best linear unbiased estimator of the shape parameter of log-logistic distribution
Journal of Statistical Computation and Simulation, 2021Wangxue Chen
exaly
The best linear unbiased estimator in a singular linear regression model
, 2018Jibo Wu, Chaolin Liu
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Best linear unbiased estimator approach for time-of-arrival based localisation
, 2008Frankie K. W. Chan +3 more
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IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
Engin Dikici, F. Orderud, H. Torp
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Engin Dikici, F. Orderud, H. Torp
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