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Current regional to global and daily to annual ET estimation relies mainly on surface energy balance (SEB ETT models or statistical and empirical methods driven by remote sensing data and various climatological databases.
Real-time cosmology measurements are "raw" observations that don't rely on models or statistical samples.
The impact of potential confounding factors was unclear in many studies, whereas eleven models (BTS 1, 2, 3, CURB, CURB-65, CRB-65, MRI, PSI, SOAR, AFSS, and PARB) [ 11, 14, 21– 29, 29] used appropriate statistical methods (i.e., use of logistic regression models or statistical methods to choose factors that were most predictive of mortality) for the derivation of the prognostic score.
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When an RCT is infeasible, regression modeling or statistical matching are often used instead.
Experienced-based prognostics, life usage model, or statistical reliability-based approach are different names for the same approach.
All of these approaches that use rules to spatially allocate LULC change tend to be simpler and more transparent than the general equilibrium scenario analysis as exemplified by the MA, agent-based modeling, or statistical analyses.
For example, the manuscript mentions the possibility to export data to other software for modeling or statistical analysis.
Dr. Yakovlev had an incredible intuition as to which biomedical problems are amenable to mathematical approaches and what is the right mathematical model or statistical test to employ.
For example, statin usage may depend on variables that are not included in the statistical models; or the statistical models used in the analysis do not properly adjust for the confounding factors.
For example, for the 1997 1998 El Niño, none of the models (dynamical or statistical) clearly captured and forecast the onset of that extraordinary event even as late as December 1996.
The noise levels were elevated at the GWB and GSP locations compared to SF, but these noise measurements were limited and we therefore did not control for noise in our models or perform statistical tests.
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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