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Instead of fitting a parametric model to this sample, which would result in a parametric approximation to the unknown population distribution, we take the sample itself as the approximation (via the empirical distribution derived from the sample).
Take the British government as a model.
I'll take the samples this coming week and get the samples off to the lab as soon as possible.
Only occupational cumulative exposures from our model are presented in the results as it takes into account the level of economic and social disadvantage within the sample, as well as age and family history confounders.
In this study, we took the Klebsiella species as model.
Instead of taking the ratio of sampling models under each hypothesis evaluated at the most likely parameter value (MLE) of each as in the Frequentist paradigm, the BF is the ratio of the sampling models averaged over their respective prior distributions on the model parameters.
For each of the five modelling techniques we generated a model for each sample, taking the 0/1 outcome of a specific reference model as outcome.
Because most approaches to tracking take the prior density as importance density, the samples are directly drawn from the standard kinematic model.
The photocatalysis activity of the samples were evaluated in terms of photodegradation of MB which was taken as a model pollutant in water.
Take the traditional model.
Water is taken as the sample in the experiment to verify the computational model.
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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