Sentence examples for variable interdependency from inspiring English sources

This is problematic in that traditional menu management and analysis models share the common and irremediable shortcoming of variable interdependency, in which the central intersection between vectors in a matrix is dictated by the means for the associated variables.

This work also indicates that decision variable interdependencies appear to have a significant impact on the overall mathematical difficulty of the monitoring network design problem.

Therefore, no individual performance measure can fully explain visibility, indicating that performance drives popularity through a combination of performance measures (see supplementary materials S4 in Additional file 1 for variable interdependencies).

Thus, the variable of interdependencies is responsible for regime formation, while the variable of a common norm – for the prevalence of either coordination or cooperation as its functional type.

Thus, in order to find out whether globalization will lead to the formation of a mature anarchy system or induce a segregation of the world into blocs in accordance with the balance of power model, the variable of mental interdependencies needs to be studied vis-à-vis the existing physical interdependencies (Table 4).

The interdependency of variables and their influence in the total operating cost (OPEX) is estimated.

Compared with traditional methods, games can be a great way to model the future by showing relationships and interdependency between variables, says Gabe Zichermann, author of The Gamification Revolution and chair of GSummit, a popular gamification conference being held this week in San Francisco.

have to use crisp estimations of the interdependency between continuous variables, whose application to vague datasets is arguable.

The insight of interdependency of the variables gained in non-parametric regression and multivariate principal component analysis is employed to develop an effective neural network.

To compare three predictive models based on logistic regression to estimate adjusted likelihood ratios allowing for interdependency between diagnostic variables (tests).

It is also shown that due to this interdependency of the variables, the application of JDRV method in reliability assessment of rock slope stability will result in errors and hence, the MC method will be the preferable method.