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The improved model was evaluated with hourly time series of RSP, NOx and NO2 concentrations monitored at the Mong Kok Roadside Gaseous Monitory Station in Hong Kong during the year 2000 and proved to be effective.
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The measurement model was evaluated for validity and goodness of fit statistics to improve the model to ensure the final prototype is parsimonious.
The predictive power of the model was evaluated with the area under the curve (AUC 68.
This predictive model was evaluated using an external data set.
aimed to improve the reliability of the modeling process were utilized and their effect on the statistical parameters of the models was evaluated.
A natural logarithm transformation was applied to improve normality and linear mixed models were evaluated using ASREML.
One- and two-compartment models were evaluated, with the latter PK model resulting in lower objective function value and Akaike Information Criterion values with substantially improved diagnostic plots.
The relative fits of the two models were evaluated using the AIC.
Two and three compartment models were evaluated.
Several different quantitative models were evaluated.
Two different models were evaluated.
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