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We analyze both post-stratification and blocking under the Neyman model and compare the efficiency of these designs.
The Nash criterion is used to calibrate the model and compare alternative configurations.
We detail properties of our intercausal cancellation model, and compare it against existing causal interaction models.
We also take a simple theoretical model and compare the results with theory.
A number of representative problems are considered to investigate the model and compare its predictions to experimental observations.
To validate the proposed model and compare it with the existing work, the En2OCL (English2OCL) application is developed.
Our approach is to choose a model and compare classifier efficiencies for various sample sizes and distributional complexities.
He will present a new software package that allows fitting both actor-oriented models for time-stamped network data and the tie-oriented relational event model and compare results obtained from both methods.
In this work we calculate the magnetic field parameters for two stream-interacting magnetic clouds using Burlaga's model and compare with their observed magnetic field behavior.
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Excluding plausible or predictable pest interactions from risk-cost-benefit analyses handicap efforts to reliability model and compare bioenergy costs.
In this paper, we exploit the concept of the SDGN model and compare its performance with the SIGN 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