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A mathematical model with high fitness was obtained.
"With that, I went back and designed a model with high visual impact and a retail price point below €5,000.
A local stiffening toe cap model with high energy absorption efficiency was also validated.
The study produced a statistically significant model with high correlation coefficient and good predictive abilities.
It was noted that the equilibrium isotherm data followed Langmuir model with high adsorption capacity.
A partial least square calibration model with high accuracy was created.
Based on these data, a cubic degree polynomial regression model with high reliability was constructed.
The statistically significant best model with high correlation coefficient (r2 = 0.9031) was selected for further study.
Using Principal Component Analysis to Estimate a High Dimensional Factor Model with High Frequency Data, with Dacheng Xiu, Journal of Econometrics, 2017, 201, 388-399.
The effects of different factors were quantified by a regression model with high accuracy of 0.99.
This allows to determine a gravity field model with high spatial resolution and high accuracy.
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