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Here we conduct a simulation study to investigate whether including noise in one or/and another parameter makes a difference to the model explanatory and predictive performances.
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The second model (called model 2) was explanatory and included pre- and postoperative parameters.
It is now imperative to bring together all this empirical material into a more theoretical model of pastoral livelihoods, a model with both explanatory and predictive power.
An important distinction in prognosis is made between prognostic factor models, also called explanatory models and outcome prediction models [ 7, 8].
The rest of the model's variables are explanatory and act as independent variables in the model (see Table 2).
The nonparametric regression model provides a useful explanatory and diagnostic tool for this purpose.
The higher the quality of the inferred model (in terms of explanatory and predictive power), the higher the inferential power of the algorithm.
For each method, hardwood and pine vegetation is modeled using explanatory topographic and edaphic variables selected based on historic reconstructions of patterns of land use.
Partial least squares, a structural equation modeling technique, was used to evaluate the proposed model for explanatory power and hypotheses testing.
Commute variables never contributed more than 11% of a model's explanatory power, and generally much less.
The model has explanatory properties and also allows predicting the transcription levels of future experiments.
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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