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First, the best models for each type of robbery include ordinary and discretionary businesses and spatial lag (Tables 3, 5).
The best models for each of the two scenarios (with year and without year) are shown in Table 2.
Maximum likelihood phylogeny was searched using TreeFinder using the best models for each data partition.
The best models for each temperature were determined and the kinetic parameters were fitted using Arrhenius/van't Hoff plots using the re-parameterized equations suggested by Kittrell [ 36].
Based on Akaike Information Criteria [AIC, [ 67]], the best models for each partition were: COII pos1 GTR+G+I, COII pos2 GTR+I, COII pos3 GTR+G+I, histone HKY+I, 18 S GTR+I, and 28 S GTR+I.
A particular advantage of bumping compared to other non-greedy regression tree methods is the possibility to computationally effective construct and select the best models for each tree size.
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We finally select a single "best" model for each method.
The best model for each molecule is selected by the Akaike Information Criterion.
The best model for each fleece trait was chosen after testing for improvement of the log-likelihood values.
The best model for each duration rainfall series is chosen based on the corrected Akaike Information Criterion (AICc).
The eight models were applied to flood data available for each watershed and their performance was compared to identify the best model for each location.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com