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Three regional estimation procedures were tested and the results indicate the sensitivity of the radar frequency estimates to the selection of the estimation approach and the impact on the uncertainties of the derived extreme quantiles.
Following Cumming's (2012) recommendations, we present our findings in line with the estimation approach by calculating a precise estimate of the actual size of the effects.
However, the estimation approach does not directly yield estimators of the transition intensities, which often have a meaningful interpretation in epidemiological studies.
They found that the estimates varied over time, and that this should be accounted for in the estimation approach.
tVIM estimates the effect of 1 variable at a time, which tailors the estimation approach toward the specific effect of interest, thereby providing more accurate effects and assessment of uncertainty.
The error convergence of the estimation approach is given.
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The obvious n-dependence of the estimator can be seen in this plot, where the estimation approaches the analytic value, as n increases with n -consistency, as expected [ 24].
Section 3 focuses on the estimation approaches including the decomposition analysis.
The estimation approaches for both efforts of interest are presented below.
Afterwards details of the estimation approaches are described.
Because biological systems often follow a log-normal distribution, we apply a log-normal transformation to the response to improve the normal approximation used in the estimation approaches for the response PDF (Sections 2.4 and 2.4.1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com