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Exact(4)
Furthermore, the predictions by both analysed models were closer to reality than the values estimated with the SYMLEK system.
Two antagonist schools [14] and Flory [15], tried to theoretically determine, which models were closer to reality.
The estimates in DYD-YD models were closer to the simulated parameters.
For 53% of all variables considered, the ratings of percent importance in the models were closer for the ANN and CE model than for MLR and CE.
Similar(56)
The comparison between the two contours seemed to indicate that the fittings based on two models were close.
For any trait, the P values from the three models were close to the expected P value.
Hence, correlations between EBV of the SIMPLE and NAÏVE models were close to unity, and both models showed good agreement with the EBV for susceptibility from the CURE model.
Both the scaled deviance and Pearson's chi-square statistic for these models were close to one, indicating an excellent model fit.
More complex models are closer to reality and useful to engineering and research purposes.
The models are closer to the models by Atman (2007) and Maruotti (2007).
Accordingly, the average prediction from individual models is closer to the actual LD50 value.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com