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The necessary and sufficient conditions that the linear estimators of regression coefficient function are admissible are established, in the class of homogeneous/inhomogeneous linear estimation, respectively.
After calculating the forward solution with a boundary element model (Oostendorp & van Oosterom, 1991), dipole strength power was estimated at each cortical location every 5 ms using a linear estimation minimum norm approach (Dale & Sereno, 1993; Hämäläinen & Ilmoniemi, 1994).
The necessary and sufficient conditions that the linear estimators of regression coefficient function are admissible are obtained, in the class of homogeneous and inhomogeneous linear estimation, respectively.
For linear estimation problems with known noise covariance matrix, the a posteriori distribution of the estimates can be determined in closed form [14].
"Minimax Linear Estimation at a Boundary Point", Journal of Multivariate Analysis, 2018, 165, 262-269.
In this paper, we present a Fingerprint Linear Estimation Routine (FLiER) to identify topology changes in power networks using readings from sparsely-deployed phasor measurement units (PMUs).
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A novel linear estimation-based method is proposed to compensate packet dropout, and H∞ controller design is also presented by using the multi-objective optimization methodology.
The simulation results illustrate the effectiveness of the active-varying sampling period method and the linear estimation-based packet dropout compensation.
We have also estimated the models using non-linear estimation methods (i.e. logit and probit) and the results, available upon request from the authors, are unaffected.
Non-linear estimation models were developed using genetic algorithm.
Non-linear estimation models are developed using GA.
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