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We study the mathematical properties of the resulting models: consistency, hyperbolicity, and existence of a mathematical entropy.
33 The choices between fixed and random effect models, consistency and inconsistency models, will be made by comparing the deviance information criteria (DIC) for each model.
Robustness is not only assessed through the standard evaluation of parameter estimate precisions, diagnostic plots, individual fits, and predictive checks, but also through the evaluation of the models' consistency with the physiology and evaluation of parameter sensitivity to key assumptions.
The formal specification of the data models, consistency predicates, and synchronization procedures, allowed the usage of automatic analysis tools (namely, the Alloy Analyzer model finder) to generate a large number of diverse usage scenarios.
In the case of log-linear models, consistency across participants in the magnitude of the effect can be determined by exploring interactions between participants and the observed frequencies of signal + noise and noise responses (if the interaction term is nonsignificant, the observed frequencies are consistent across participants – see Altmann & Kamide, 2007, fn 1).
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Consistency management techniques are widely used to ensure the model consistency by correct model-to-model and model-to-code transformation.
Modeling Consistency in a Speaker Independent Continuous Speech Recognition System.
Allen, M. R. & Tett, S. F. B. Checking for model consistency in optimal fingerprinting.
The validity of the model order choice was a posteriori verified estimating the model consistency (percentage of the data correlation structure explained by the model)85.
Matching calculation between these CAD models has wide applicability in model consistency check and retrieval.
Furthermore, the SVM information criterion is utilized to select the kernel parameter to guarantee model consistency.
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