For cases of the number of the pilots is greater than the number of channel taps (i.e., 1000 and 500), the BCS provides inefficient estimation accuracy, while for the other cases of the number of the pilot of (100, 50, and 25), which is less than 500, the estimation accuracy is enhanced significantly.
However, System GMM is a more inefficient estimation method in our context.
It is important to note that skewness could lead to heteroskedasticity, and thus inefficient estimation [ 26].
The larger T is, the more accurate is the approximation for this observed sample, but one cannot choose too large a T because the sample size k of the set of T-maxima would be too small, resulting in an inefficient statistical estimation of the three unknown parameters (ξ, σ T, μ T ).
However, in many cases, these simple formulas are inadequate, and may lead to inefficient or biased estimation of working memory capacity.
The standard error estimation value indicates that the problems of inefficient parameters associated with empirical estimation of this nature are highly minimized.
Ignoring the correlation effect when modeling the reliability of multistage systems generally results in inaccurate estimation of the overall system reliability and inefficient operations policy accordingly.
While SAGE tag counts can provide reliable estimation of gene expression, it is rather inefficient and expensive to use SAGE for profiling a large number of tissue samples with biological replicates.
Since the data generating process (DGP) for both DDS and DDI are count and index data respectively, the estimation of Eq. 21 by traditional ordinary least square (OLS) will lead to inefficient results.
