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Al-Mubaraki and Schrödl (2011) indicated a model for measuring the effectiveness of business incubation.
The AICc criterion indicated a model order between 6 and 8, where the minimum was at p = 8.
Both the criteria for the model comparison and the correlations between the levels indicated a model with one single latent scale with different levels, which also was in line with the theoretical considerations as to how the content difficulty increased.
The AICc criterion indicated a model order between 6 and 8. To obtain an idea about the discriminative power of the selected model order, the receiver operating characteristic (ROC) curves computed on the training data were also constructed in these three consecutive time windows for each model order.
Model improvement was tested by applying the likelihood ratio test where p < 0.05 indicated a model improvement.
Already in 2001 Shibata and coworkers (Yatabe et al, 2001) indicated a model in which several stem cells per crypt are present and are constantly replaced.
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GMM indicates a model consisting of a single Gaussian mixture for each phoneme.
Coefficient of determination (R2) values above 0.70 indicates a model that fits the data well.
HMM indicates a model consisting of three Gaussian mixtures per phoneme.
We indicate a model for the insertion/extraction of lithium in the fibers.
The AUC statistic is a threshold-independent measure of model performance; theoretically, an AUC score of 1.0 indicates optimal performance, while AUC = 0.5 indicates a model that predicted occurrences no better than at random [40].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com