Sentence examples for a considerable number of variables from inspiring English sources

For small m, a FA model provides a parsimonious way to model the covariances among a considerable number of variables.

However, this study shows that a considerable number of variables may be necessary to make an informed decision or a prediction with a high level of accuracy.

The large sample size yields narrow confidence intervals around the estimates of mortality and made it possible to include a considerable number of variables in the regression analysis.

Even though this highly heterogeneous group had the lowest percentage of mapped reads (Table 1), most likely caused by a low sequence quality, it displayed a considerable number of highly variable SNPs.

A genetic algorithm (GA) combined with partial least squares (PLS) regression was applied in order to reduce the considerable number of variables of electrochemical signals recorded by a voltammetric electronic tongue.

Very high β-galactosidase activity was shown by a considerable number of the tested strains, whereas variable prebiotic utilization ability was observed.

In the case of S. aureus, all previously defined strains can be subdivided into a considerable number of variants as they harbour variable genes in different combinations [29]; [43]; [82].

Although the presence of an NDR in the promoters regions is widespread (i.e., affecting mainly TATA-less genes, which represent around 80% of the total), a considerable number of genes exhibited a more variable promoter architecture (Reviewed in [ 14]).

With the adoption of POS to many different contexts by a considerable number of scholars, POS has included a large number of variables that might structure the behavior course of social movements.

The objective is to develop an automated and robust strategy which could handle nontrivial optimization problems (about 1000 equations and variables with a considerable number of uncertain parameters — up to 30) that, at the present, cannot be solved in a reasonable period of time by using rigorous stochastic optimization methods.

A considerable number of patients had missing data for several variables, including race/ethnicity and smoking status.