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We reduced the effects of sampling errors with an extensive geographic sampling regime, including populations from all regions known to harbour this species.
We used a re-sampling approach to assess the effects of sampling variation on fold-change and P/A call consistency between redundant probe sets.
The second approach uses an upsampled image to ensure less effects of sampling.
In the second approach [GradWT2], an upsampled image is used to ensure less effects of sampling.
Numerical examples are adopted to illustrate the improved method, and the effects of sampling frequency and sampling duration are discussed.
We modeled the effects of sampling 1, 2, or 3 pups from each litter using the full-litter complement data.
The next step was to use a second (sampled) population to evaluate effects of sampling the targeted population.
We conducted a simulation study to evaluate the effects of sampling location errors on three catchability estimators (Leslie, Ricker, and Rago).
The results show that this simulation strategy is useful for analysing the effects of sampling errors, the changes in operation temperature, random errors and sensor drift.
Reduction in sample size did not change our results regarding effects of sampling intensity and duration but affected the conclusions for group size effects.
The case studies presented also illustrate the effects of sampling bias and limitations related to discontinuity characterization using remote sensing techniques.
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