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Moreover, the Laplace distribution of the OSTAR-Laplace model also performs fat-tail effect naturally.
The significant superiority of the ETAS model in forecasting seismcity to the Poisson model in binomial information score implies that the ETAS model also performs better than the Poisson model in the Poisson information score.
Here, we demonstrate that the model also performs well when approach is the chief reaction.
Our PCR data are consistent with this observation and our model also performs well in predicting the fixation of the older class of TE insertions largely residing in regions of low recombination.
Surprisingly, the independence model also performs very well regardless of the true correlation and has the highest probability of identifying the optimal dose in two of the three correlation conditions.
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The topographic model also performed well, classifying correctly 81.39% of cases validated by the same methodology.
The AE, SW, SE, and LI model also performed comparatively better.
Moreover, the local and general formulas of the most accurate temperature-based model also perform better than the two most accurate sunshine-based models from the literature.
In addition, the SVR-RFFA model also performed well based on other goodness-of-fit statistics such as BIAS (mean bias) and BIASr (relative BIAS).
The Dinuc grammar, which differs from the PFOLD grammar only in its null model, also performed better on rRNA.
The Rx-MGs model also performed better than other diagnosis-based alternative models in this study.
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