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This study confirmed the utility of benthic macroinvertebrates as an indicator group of biological quality in reservoirs, and the statistical model applied was effective in providing a measure of the ecosystem health of the reservoirs.
A detailed uncertainty assessment of the model applied was presented by [36].
A detailed uncertainty assessment of the model applied was presented by [ 36].
Here, the evolutionary model applied was Le Gascuel (LG) [ 44], and the branch support was calculated by approximate likelihood ratio test (aLRT) [ 45].
The HLM model applied was a random slope and intercept model, where all control variables (with the exception of child sex) had fixed effects.
The mixed model applied was: trait ~ mean + fixed effects + SNPi + animal + error, with animal and their 5-generation-ancestors and error fitted as random effects and dataset, breed, cohort and sex as fixed effects for all traits.
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The turbulence model applied is the Reynolds stress.
The failure model applied is a simplification and generalization of Hashin's theory [49, 50].
One example of this model being applied is mechanized brick-making technology.
Both models applied here are biophysically based.
Random-effect models were applied when heterogeneity was significant with fixed-effects models being used otherwise.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com