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The range of this model is from 0 to 153.
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Model performance should be assessed not only by ability to discriminate between diseased and non-diseased individuals, but also by ability to assess whether or not observed events match expected events over the range of the model, for this calibration between observed and predicted risk needs to be assessed.
The dynamic range of this model covers all magnetic activity levels specified by integer values of the Kp magnetic index.
Via a case study from Bronze Age Crete, we extend the analytical range of this model by suggesting ways in which it can (a) remain effective in the presence of missing data, (b) be given a stronger grounding in the physical landscape, and/or (c) be used to consider the evolutionary trajectory of settlements and physical routes over time.
Results of the simulation are compared with results using a one-dimensional phenomenological model in order to verify the range of validity of this model under situations involving one-dimensional gradients of chemical attractants.
This allows estimation of the range of possible model outcomes.
Assuming the 1% standard error, this economic model result is -1% +/- 3% or the range of the possible model outcomes is between -4% to +2%.
However, the range of control models constructed and analysed for this study were restricted by two things: The complexity of the scoring mechanism in some of the tools e.g. the Asthma Control Test (ACT) and the Asthma Control Questionnaire (ACQ), made it impossible to model the asthma data to suit the score point for good and poor control.
Since 1990, global surface temperatures have warmed at a rate of about 0.15°C per decade, within the range of model projections of about 0.10 to 0.35°C per decade.
While temperature measurements have been toward the lower of the range of model projections in recent years, there's been a tremendous body of scientific research investigating the various contributors to the slowdown in global surface warming.
The range of model parameters leading to persistence of scrapie is narrow, but realistic.
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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