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In particular, we propose a PEB estimator to estimate small area means.
Let us use kernel estimator to estimate the probability density function (widetilde {f}).
The proposed controller is combined with modified Newton Raphson (MNR) wind speed estimator to estimate the wind speed.
Attention is focused on the design of a state estimator to estimate the neuron states, through available output measurements.
The second method uses a robust sandwich estimator to estimate the standard error (robust SEs).
You can also use Migration Estimator to estimate your custom migration cost.
We used the kriging estimator to compute density estimates of H. dactylopterus in the survey area.
All estimates of prevalence rates and population shares were weighted back using a sandwich estimator to yield true population estimates.
We therefore used a sandwich estimator to obtain robust variance estimates.
Simultaneity causes the OLS estimator to pick up both forward and backward effects, biasing the estimation.
These fictitious measurements dictate the estimator to return to an undeformed state and lead to a stable estimation approach.
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