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By use of this model, the benchmark and hence the initial allocation of emission allowances to airlines can be estimated.
This model is an extension of the Poisson regression model, the benchmark for count data, which accounts for over-dispersion of data (Coxe et al., 2009).
In this 'proof-of-concept' study, vascular function was characterized in the murine collagen-induced arthritis (mCIA) model, the benchmark choice for evaluation of the pathological processes and assessment of new therapies.
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The study, initially, investigates the use of classification and regression trees for monthly streamflow forecasting and employs a support vector regression (SVR) model as the benchmark model.
They also show the superiority of the newly proposed model over the benchmark models.
We begin the simulation by considering an exponential curve drawn from the SDD model as the benchmark.
For inefficient DMUs (ex. DMU q ), the DEA model calculates the benchmark.
The results confirm what we have observed from the cross validation setting: for each zone, the proposed model outperforms the benchmark one for most of the validation years.
The jackknife results obtained by the proposed model on the benchmark dataset based on the five different cluster profiles of the tripeptide (i.e., n = 3) case were listed in Table 4.
The results (details available upon request) for the just-identified model and for the benchmark model used in this paper were very similar.
In what follows, I take model 1 as the benchmark model, as it is the only one allowing us to control for all different channels.
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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