Exact(1)
This method produces a new weight for each unit in the target population UB which is an average of the sampling weights of the population UA from which the sample is selected.
Similar(59)
Such an estimate is the average of the samples obtained for the first column of A⋆, which corresponds to CMB.
For both samples (of subtraction terms), we calculated the 5% confidence limits on the average of the sample using bootstrap methods.
The pooled standard deviation is the square root of the average of the sample variances [ 32].
The average of the sample triplicate measurements was obtained for the threshold cycle (Ct) value.
Data is expressed as ΔOD reflecting the difference in absorbance between the average of the sample and background wells.
The method would learn the best graphical model for each sampled dataset and generate a consensus network from the average of the sample models.
The posterior variance is a weighted average of the sample variance and an intensity level-specific background variance level, with the weights determined by the empirical Bayes model.
The arithmetic average of the samples for each location/type was then calculated and weighted by time (Breslin and Harris 1958).
In particular, women have a higher marginal return relative to the average of the sample (which is correspondingly lower for men) when they perform an additional service.
Thereby, the results presented in this study are based on average values of the sampling layers.
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