Sentence examples for multiple variables in from inspiring English sources
Note that you can use "advanced search" to set multiple variables in your course search.
He introduced the production substitution curve (now referred to as the production-possibility frontier), which offered a framework for considering the effects of multiple variables in the process of production.
Based on the quasi-static mechanics analysis of rolling bearing, the transfer relationships among multiple variables in the equilibrium equation set of bearings were analyzed.
In order to overcome the disadvantages of the conventional teaching estimation methods, an integrative evaluating model, which is based on the fuzzy logic, is proposed to deal with the evaluating process with multiple variables in this paper.
This study describes a potential method of increasing the clinical utility of manualized treatments for highly challenging cases through an intensive, functional analytic strategy, and also describes the challenges of working with anxiety disorder cases in which there are multiple variables in addition to the child's anxiety that contribute to clinical disturbance.
It cannot capture the variations among different sound source directions and the interaction of multiple variables in HRTFs.
The signals we observed in LIP were typically multiplexed at the single neuron level; a large proportion of neurons in both animals were influenced by multiple variables, especially in the early delay period (Fig. 7).
However, normal soils are an unacceptable medium for rigorous scientific analysis because of the multiple variables present in their constituents.
Statin = HMG-CoA reductase inhibitor, NA = not available since variable was constructed from multiple variables (15 in the case of medications).
Our new MRI criterion highlights the possibility of using simpler, easier criteria that are not based on multiple variables, as in the inclusion criteria for the SHAPE trial.
These variations "blur" true spectral correlations across multiple variables, resulting in lower quality models from linear methods like PCA and PLS.
