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A bootstrapping strategy in the abundance estimation step allows us to obtain confidence statements for all estimates, and thereby the definition of cutoffs for diagnostic decisions can be supported by statistical statements.
From another point of view, the embodiment is significant at 1% threshold for all estimates.
For all estimates mentioned above, three measures were of particular interest in each condition.
The random sizes of the subvectors that are associated with the random parameter make the derivation of the CRLBs for all estimates very complicated.
Across all simulated conditions, the bias for all estimates was negligible (mean bias in the subpopulation differences = −0.016; mean bias for regression coefficient β2 = 0.017).
The MAEs for all estimates are greater under quantized communications (q=10 bits and dynamic range of quantizer is [−20,20]) than the unquantized counterpart.
Conventionally, standard errors of propensity score matching estimates are obtained using bootstrap methods, but with large samples such as those available to this study, it is not feasible to calculate bootstrap standard errors for all estimates.
In this way, we not only get a better estimate for the current time, but also for all estimates after the time of measurement; this was crucial in our case as camera pose calculations could have a delay of up to 80 ms, which translates to 8 inertia measurements.
PAML version 3.14 [21] was used for all estimates.
For all estimates of survival and growth rates and both colonies, increasing the frequency of human exposure resulted in a large decrease in predicted long-term annual population growth rates (Figure 4).
CIs were provided for all estimates.
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