Sentence examples for between two models using from inspiring English sources

To verify which of the models best fits the data, likelihood ratio tests (LRTs) were performed by comparing twice the difference in log-likelihood values (-2lnΔ) between two models using a χ2 distribution, with the number of degrees of freedom equal to the differences in the number of parameters between the models.

In addition, instead of modeling a fixed number of layers, we believe we can reduce the harsh transition between the two models using Russian roulette.

These strategies introduced variations in the nature of the connections between the two models using combinations of point and uniformly distributed lateral inflows.

We can distinguish between these two models using ChIP chip data that probe genomic occupancy by nucleosomes and by the factors themselves.

To examine the modifying effect of chronic stress on associations between CAPs and respiratory function, we constructed two models using a method similar to that of Tsaih et al. (2004), wherein the first model produces the slopes and significance of CAPs effects separately by stress group, and the second model produces the test of significance for the stress CAPs interaction.

The role of changes in bone loading driving OA is corroborated by the relationship between weight and pathology in the two models used in this study.

The differences in NOS activity observe between the three models used in the present work, probably corresponds to the hormonal treatments employed, which mimics the hormonal milieu that occurs during normal pregnancy but are not exactly the same.

To verify which models fit the data better, likelihood ratio tests (LRTs) were performed by comparing twice the log-likelihood difference (-2 two nested models usingΔ l) between two nested models using a χ2 distribution, with the number of degrees of freedom (df) equal to the difference in the number of parameters between models [ 81].

The difference in area under the curve between two models was tested using Delong's method [ 24].

These days, Levandowski and the other engineers divide their time between two models: the Prius, which is used to test new sensors and software; and the Lexus, which offers a more refined but limited ride.

In order to evaluate and ultimately predict decision-tree models, the implemented architecture can compare the node probabilities between two models and decide on their similarity, using hypothesis tests for the standard deviation of their distribution.