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The implications of sampling from contrasting populations are considered in the Discussion section below.
The objective of this paper is to demonstrate the implications of sampling designs and sample sizes on the cost-efficiency of the measurement component of MRV systems.
Second, McEwan, Urquiola, and Vegas consider the implications of sampling variance (and even of "population variance" over time) for policy schemes that reward or punish schools on the basis of changes in average test scores.
The implications of sampling uncertainty on decision uncertainty (the probability specialised tinnitus care provided in a specialised tinnitus centre is more cost-effective than usual care) will be quantified using the cost-effectiveness acceptability curve.
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Consequently, the implication of sample size effects in statistical pattern recognition is significantly reduced and better accuracy on mass range assignment can be achieved.
Here, we present such a study and consider the implications of suboptimal sampling design on estimates of abundance and size-frequency distribution.
To test the implications of smaller sample sizes, we repeated key analyses using randomly sampled subsets of our data representing one-quarter to one-half of our data.
I examine the implications of clustered samples on inference.
This is consistent with recent arguments made by many authors, including Goodman and Berlin [ 20] who state that "confidence intervals should play an important role when setting sample size" and that " the size of a confidence interval can be predicted in the planning stages of an experiment and this can be a great help in understanding the implications of different sample size choices".
Kilian et al.[ 22] suggest that more studies are needed with larger sample sizes and we found no other study that analyzes the implications of having smaller samples.
We will return to consider the implications of similar split sample analysis for our model of within country migration below.
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