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Discover Ludwig"mixed inferences" is a correct and usable phrase in written English.
It refers to a situation where there are multiple conclusions or interpretations drawn from the same set of information or evidence. This phrase can be used in various contexts, such as in academic writing, legal proceedings, or everyday conversations. Example: The prosecutor's closing argument was filled with mixed inferences, leaving the jury confused about the defendant's guilt or innocence.
Exact(2)
The pluralist owes an explanation of how the thesis that there are many ways of being true can account for the validity of mixed inferences.
Beall (2000) argued that the account of validity used in multi-valued logics gives pluralists the resources to deal with the problem of mixed inferences.
Similar(58)
Based on the linear mixed model, inferences could be made on the difference between groups and over time.
The second cloacal swab yielded 15 influenza reads of ∼230 bases, sufficient for bioinformatic inference of mixed infections or quasispecies.
To ensure a strong statistical support for any inference of mixed ancestry, we further set MIGRPRIOR = 0.1.
Finally, indications through linkage ratios led to the incorrect inference of mixed polysomy and disomy for the cultivated strawberry [ 13, 36].
We decided to use Bayesian statistics and an information technological approach because, among other things, drawing inference from mixed models is not possible in the frequentist approach (Bolker et al., 2009).
We compare the variability of bone density for patients receiving placebo with that for patients taking treatment, using mixed models 12 to make inferences about whether the effect of treatment varies among individuals or is uniform.
Implications for the design of mixed architectures and the corresponding inference algorithms are briefly discussed.
As is shown above, mixed effects modeling provides powerful inference to this dataset.
For analysis of regional GM differences between groups, modulated GM images were entered in a second-level Bayesian mixed effects model to allow inference to the general population.
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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