Sentence examples for model analysis techniques from inspiring English sources

The need for a signal that instigates the behavioural change that leads to neural differentiation is demonstrated and potential mediators of this signal are explored through model analysis techniques.

Model analysis techniques, such as Global Sensitivity Analysis (GSA), can provide behavioral information regarding the hierarchical structure of the modeled system that would otherwise be hard to extract from experimental observations alone [40].

We used model analysis techniques to identify organizational principles governing the cellular regulation of liver regeneration.

Once a sample from the posterior distribution is obtained, the results can be used for a wide array of model analysis techniques.

However, once such a sample is obtained, the results can be used for a wide array of model analysis techniques which more than warrants the additional computational time invested.

Structural Equation Modelling analysis technique was used to test a hypothesized model in which high RAM would positively affect Good Study Strategy (GSS) and study effort, which in turn would positively affect academic performance in the form of grade point averages.

SQFD integrates stochastic simulation modeling and analysis techniques into traditional QFD to deal efficiently with the uncertainties in the input data, to support the quality performance measurement that is involved in multi-attribute and multi-participant decision-making, and to predict the variability in the output.

A cross comparison of the tensor modeling and analysis techniques indicated that the second data set can be modeled and interpreted much better (i.e., by using fewer components, capturing a higher percentage of the variance in the data, and much better consistency in the convergence and fitting).

As a running example, we model a peer-to-peer file-sharing system and show how and when to apply the different modeling and analysis techniques of Credo.

Different modeling and analysis techniques exist for availability measurement including analytical methods and simulation methods [27, 28].

Modeling and analysis techniques involving spatial point processes are reviewed.