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The panel data and simultaneous equations models analyze the interaction between S&T.
We follow Canavire and Robles (2013), who, using this kind of panels and non-parametric duration models, analyze the sequencing and duration of the episodes of poverty.
In this paper, we introduce a category of Multi-Fuzzy-Neural Networks (Multi-FNNs) models, analyze the underlying architectures and propose a comprehensive identification framework.
Proposed re-quantization models analyze the features of bit-rate conversion for baseline profile in H.264/AVC and the re-quantization models for I frames and P frames, respectively.
These models analyze the energy and throughput of a data cache on an application basis, thus providing the hardware and software designer with the feedback vital to tune the cache or application for a given energy budget.
DSGE models analyze the fluctuations around potential output in the presence of price and wage rigidities but maintaining a general equilibrium assumption, in contrast to disequilibrium macroeconomics where fluctuations are not limited by the general equilibrium assumption and regimes of rationing operate in the short run in goods and labor markets as explained in Sect. 2.
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FE analysis models analyzed the stress distribution within the cement and enamel.
No covariates were included in the models analyzing the treatment effects.
Figure 5 shows the results of using five peak models analyzing the same data.
Proportional hazard models analyzed the association between baseline depression and risks of adverse outcomes.
Logistic regression models analyzed the racial differences in oral health behaviors.
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