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In what follows, that sample is preserved for the first set of estimations.
As a logical step to investigate the stochastic interdependence and to identify commensalism and amensalism, the negative binomial regression must be iterated n times to yield a set of estimations for n variables.
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Based on the descriptive findings presented in Table 2 of increasing intergenerational education correlations with age, a second set of estimation results is presented in Table 7. Model 1 is estimated for different age groups and additionally for girls and boys separately.
Obviously, this set of estimation techniques cannot be considered exhaustive for the research problem under analysis.
This first set of estimation results is reported in Table 6.
Hence, this paper focuses on the scenario of a small amount of package losses, and examines a set of estimation methods to mitigate the corrupted and missing data, including substitution, interpolation, and prediction.
To address this concern, we present below two sets of estimations.
In this section, we present different sets of estimation results.
The two sets of estimation results are compared with the simulation results, as shown in Figure 15.
where denotes a set of distance estimations and denotes a second derivative with respect to the hydrophone number.
Then, a novel method is presented that allows for the derivation of the estimation error dynamics, the bounding set of the estimation error, and the state estimate dynamic equations of constrained MHE.
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CEO of Professional Science Editing for Scientists @ prosciediting.com