SC and f ^ p values were obtained from the power spectrum using the same estimation method as in the case of synthetic recordings.
To investigate whether the matrix approximation-based scoring strategy could enhance the between-approach comparability of the quantitative information encoded in the double-mutant fitness matrices, we next used the same estimation parameters and scoring functions defined in the previous within-approach evaluations [ 31].
An advantage of this analysis was that is used the same estimation sample for the analysis, however unobserved heterogeneity and state dependency could not be taken into account with cross-sectional data in this analysis and this could explain the different results to the results of our own study.
eNodeB can always use the same channel estimation algorithm (e.g., algorithm in [16]) to estimate the channel response for control information detection, i.e., eNodeB performs filtering to location of reference signal of relay in time domain even if relay does not perform the retransmission.
Besides, the tracking algorithm did not use the same acceleration estimation strategy as the position related parameter in the target affine transformation.
Estimates of outcrossing rate that exceeded 1 (which is technically possible using unbiased estimators) were set to 1 because all reported values did not use the same method of estimation.
While manifestations of sampling uncertainty can be identified by the variability in results from multiple samples used for the same estimation (for example, the replicates of a laboratory experiment), it may be more difficult to recognize sampling uncertainty in a single sample which is often the case for hospital comparisons.
A further step after the introduction of a time-continuous objective function would be to use the same function for parameter estimation.
Because HOMA2-%IR and HOMA2-%B use the same fasting values for estimation, we were unable to calculate the disposition index, which is a measure of insulin secretion that accounts for the underlying degree of insulin resistance (38).
end{aligned} (26) Since it has the same style as (16), we can use the same ways to obtain the estimation as (25).
We can use the same general framework as developed here to approximate the sampling variance from within-family estimation.
