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Researchers who have reported estimates of Ne from more than one method too often have not taken advantage of another opportunity to increase precision – combining the estimates into a single estimator.
This is why we want to develop a generic tool which can include specific models into a single estimator.
We prove that for two-level factorial designs the proposed estimators are different representations of a single estimator.
Then a single estimator and its asymptotic variance for each technique, suggested by trying to minimize the asymptotic variance over the family of estimators, is obtained.
Furthermore, the flexibility of these modeling tools permits an accurate recovery of a large variety of curves with a single estimator, thus, avoiding the loss of efficiency and inaccurate statistical inference induced when the analyst uses several alternative parametric transformations of the covariate or time axis (Hastie and Tibshirani, 1990; Quantin et al, 1999; Mahmud et al, 2006).
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Together with frailty, slow walking speed is in itself a widely used criterion in geriatric assessment, and has become a good single estimator of frailty and its outcomes [ 5, 19]; some authors even consider it to be a vital indicator [ 20].
Several authors have noted the advantages of Bayesian methods in complex problems in ecological research [35] [39]; for the tag location problem one principal advantage is that four disparate data sources can be systematically incorporated into a single unified estimator of location.
As a baseline for comparison of the two proposed methods, we also considered a single annual estimator.
With these, we compiled ROC (Receiver Operating Characteristic) plots, as well as the True Positive Rate (TPR), and the corresponding False Positive Rate (FPR) defined by: (1) The area under the ROC-curve (AUC) averaged over ten rounds of training and testing served as a single performance estimator.
There is an extensive body of literature on extracting an optimal number of clusters from a set (e.g., Jain and others 1999): although there is some convergence around certain estimation techniques, there is no agreed-upon single estimator.
There was no single estimator that performed well across all of the conditions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com