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The integral pumping test (IPT) method overcomes this problem by increasing the sampled volume.
However, the addition of more sequence data without concomitantly increasing the sampled taxa can lead to strong systematic biases, producing highly supported, but incorrect or misleading topologies [ 53].
In order to explore the reasons for the most substantial biases, we tested a number of alternate assumptions for the worst performing scenario, Scenario B. As might be expected, keeping the population size at 1 million but increasing the sampled size 100 times from 170 to 17,000 did little to reduce the amplitude of bias but did reduce the size of our confidence intervals substantially.
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Because the margin of sampling error is related to the size of the sample, increasing the sample size for a particular subgroup through the use of oversampling allows for estimates to be made with a smaller margin of error.
Although it is challenging to collect data in forensic samples future studies should increase the statistical power by increasing the sample size and examine more subtle effects.
The stretch operator is used to describe and analyze upsampling, that is, increasing the sampling rate by an integer factor.
Error in sampling can be reduced by increasing the sample size.
This has meant both designing new and enhanced tests and increasing the sampling of devices tested, as well as folding in the macro-view of the Battery Advisory Group.
Stratified sampling allows increasing the sample size in a region by a few to many additional sample units.
This ultra fast comparator facilitates increasing the sampling rate toward GHz frequencies.
Increasing the sample size by a factor of 10 would increase the accuracy of the results.
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