Sentence examples for specified model with from inspiring English sources

Improvements in the RMSEA values as well as the initial exceeding of the cutoff value may be partly explained by the fact that the RMSEA is based on the fit function, the degrees of freedom and the sample size, whereas the CFI merely compares the fit of the specified model with regard to a baseline (or independence) model.

The comparative fit index (CFI), with values ranging between 0 and 1, compares the specified model with a model of no change [ 26].

We specified models with expansion weighting to account for complex sampling design and modified variance estimators to account for neighborhood clustering.

Another benefit is that by specifying models with respect to which the axioms and rules of the system are demonstrably complete, we provide a mechanism for producing counter-examples (counter-models), as well as another method, besides e.g. an axiomatic proof procedure, for seeing what conclusions we might be able to draw from a given premise set.

The sensitivity analysis through specifying models with different mix of variables to test the robustness of results was applied in only four studies.

We also restricted the peak exposure period by specifying models with the wildfire duration defined as 2 weeks or 1 week of peak intensity instead of 3 weeks to assess sensitivity to the duration of the wildfire event, but main effects were not substantively altered (data not shown).

Third, the parameters were estimated by using the specified model ARIMA(1,1,2) with the above control variables.

Our choice offers the advantage that it does not assume a specified model for the data with its implicit risks, but can be adapted to the quality of interaction data derived from experiments, databases or computational predictions.

Methodologies for computational analysis can vary widely depending on the question being posed and the experimental data at hand, ranging from highly abstracted models using correlative regression to highly specified models using differential equations, with network component interaction and logic modeling techniques intermediate to these.

The question, "What is the power?" can only be answered for a specific pollutant-outcome model with specified effects and a specified modeling strategy.

Subcategories of these challenges could be classified as: (1) challenges in identifying relevant entities and their interactions; (2) challenges in choosing correct preconditions; (3) systematicity challenges; (4) challenges with specifying model parameters and component behaviors; and (5) model verification challenges).