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The channel gain estimate is an unbiased estimation of since.
Unbiased estimation of variance of Horvitz Thompson estimator is also possible using the distance balanced sampling plans.
All analyses incorporated sampling weights and the stratified sampling design for unbiased estimation of population parameters and valid estimates of standard errors [ 28, 29].
This chapter presents unbiased estimation of mean square errors of the homogeneous unbiased estimators based on various sampling designs.
In the context of the model we will consider unbiased estimation of the parametric vector, where is of, by estimators of the form, where is of matrix.
Minimum mean squared error linear unbiased estimation of the total of a finite population is investigated utilizing a characterization of such estimators involving unbiased estimators of zero.
No unbiased estimate exists based on data selected in this fashion, but replication studies are routinely performed that allow unbiased estimation of the effect sizes.
Unbiased estimation of thresholds for cohesive points.
It allows unbiased estimation of main effects with smallest possible variance of components [23, 25].
Here, the discussion is restricted to the unbiased estimation of individual VCs.
Accordingly, the objective reduces to the unbiased estimation of the output variables.
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