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This is accomplished by using statistical estimation technique involves estimating probability distribution from available field data.
They were able to formulate the problem as a statistical estimation problem and estimate the prior (see [38] for discussion).
So applying statistical estimation would inevitably increase population estimates in Democratic areas, and thus result in more Democrats in Congress.
Standard graphical plotting methods, such as the double reciprocal plot [ 9] and direct linear plot [ 10], are not based on statistical estimation and yield unnecessarily inaccurate parameter estimates.
We will use the direct Maximum-Likelihood as the statistical estimation procedure, which results in unbiased estimated values under the missing-at-random-assumption.
This is a statistical estimation problem for which the standard method used is a maximum likelihood estimate computed by an algorithm known as the Baum-Welch algorithm [48].
The statistical estimation technique is the same for both.
Furthermore, a deciding weight method based on multivariate statistical estimation is applied for weight optimization.
This paradigm combines the strengths of many varied feature vectors to attain better statistical estimation.
The technical approach combines ideas from statistical estimation, dynamical systems, and hybrid modeling and design.
For such applications, we propose an improved statistical estimation technique called "recombinant estimation".
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