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We found significant empirical differences among the phenotypes associated with TuMV pipo alleles, though the magnitude and sign of the effects were host-dependent.
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Third, a series Kruskal Wallis test in addition to Mann–Whitney U-test post hoc with the use of Dunn-Sidak correction, was performed in order to analyze the correspondence among statistical differences (among clusters) in 1) empirical vs empirical, 2) simulated vs simulated, and 3) simulated vs empirical data.
There are particular empirical differences associated with associative transitions versus inferential transitions.
A similar trend occurred in the empirical data, though differences among individuals decreased more slowly (Figs. 3, 4: empirical).
While the first two steps aim to analyze similarities between simulated and empirical results in the same cluster, the third procedure aims to highlight correspondences in the differences among different clusters.
Are there important differences among different methods?
We show that even if we start the model with identical individuals, these three mechanisms were sufficient to reproduce the behavioral dynamics of the empirical study, including the consistent differences among individuals.
Our analysis confirms the universal character of the exponential behaviour for the TTE empirical distribution and points out relevant differences among the considered cities (see Figure 1).
Finally, we use a data-driven approach to compare test statistics based on the empirical likelihood of observing between-group differences among replicates.
We quantified the consistency of differences among individuals using the empirical measure for consistency called repeatability (Lessells and Boag 1987).
Stability of the estimate across different empirical specifications reflects robustness to different ways of controlling for the observable differences among providers.
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CEO of Professional Science Editing for Scientists @ prosciediting.com