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Still, the correlation between values derived from auditory scores and model estimations is higher than the one of the original WB-PESQ model.
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To estimate a stable result for each simulation model, estimations were repeated 1000 times with the median, 2.5 percentile and 97.5 percentiles recorded for each year for each of the supply variables of interest.
All types of model estimations are evaluated and compared in this paper.
Model estimations are based on data from semiconductor patents granted over a 5-year period.
The previous work model estimations are firstly assumed as the reference values of modulus of elasticity of slag concrete.
Results from the VAR model estimations are summarised by the corresponding impulse-response functions, showing the response of variables to a one-standard-deviation positive labour demand shock.
Model estimations were conducted in BayesX V.2.1 (07.05.2012).
The bi-variate analysis and the multivariate model estimations were calculated using STATA version 11.
The analysis and model estimations were conducted in BayesX V2.0.0 (06.05.2009).
Finally, all of the model estimations were bootstrapped to obtain an indication of the robustness of the results.
The dedicated core field model estimation is derived directly from the GFZ Reference Internal Magnetic Model (GRIMM) inversion and modeling family.
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