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For our particular estimator, we observed that the range of estimates was [ −10, 20] dB, which allows us to determine the maximum value l max of the concentration parameter by observing the values of κ n,ML for the histogram bins where Γ n ≈20 dB.
Consistency does, unfortunately, not tell anything about the small sample properties of a particular estimator [58].
Allowing for realizable and possibly suboptimum estimators where interpolation is not perfect, we present a semianalytical method which finds the best pilot allocation strategy for the particular estimator.
In addition, it is useful to identifying if a particular estimator is the minimum variance unbiased (MVU) estimator and if a MVU estimator really exists.
Let's say a particular estimator A that was optimal had the following behavior.
Note that q(R; α) depends on a particular estimator, although we do not make this explicit in the notation.
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In particular, our estimator outperforms the analytical estimator in a non-normal setting producing estimates that are very close to the true ICC values.
Functions f depend on the particular estimation framework, on the type of estimator and on the available information [21].
In particular, our estimator has minimum variance, in a certain sense, among all unbiased estimators that use the full complement of data.
This also means that gains in precision obtained by optimal resource allocation with a particular pyramidal estimator are much less substantial than gains in precision obtained from a good choice of the estimator.
The choice of a particular statistical estimator does not necessarily imply any particular sample design [22].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com