Sentence examples for two separate variables from inspiring English sources

Within the numerical approach the concentration of the transfer component is represented by two separate variables, one for each phase.

Kendall's tau and the Spearman's rank correlation are the two available non-parametric rank correlations that measure the strength of association between two separate variables.

In addition to this, the number of stratification variables is also important with one single, LiDAR-derived variable (OV) leading to better estimates than two separate variables (OV + CC) for three of the four datasets and nearly equivalent estimates for the fourth.

To deal with the complex-valued variables in the context of MT-BCS which was originally developed to handle real-valued problems [14], the real and imaginary components of a complex variable are treated as two separate variables in [16] without utilizing the fact that their nonzero entries usually appear at the same positions.

Once details of this behavior are known, it might be prudent to allow for two separate variables in denoting ovipositional searching and host searching.

To account for observed intra-individual variation in ovary size, the smaller and the bigger ovary were analyzed as two separate variables to partition their contribution to the main variable, total ovariole number (see below).

We calculate count measures of competition in four market definitions – two separate variable radius markets, a fixed radius market and a time-based radius market.

· Sony, with buzzers £40, game only £25 The Godfather PC, PS2, XBOX With a main character so customisable that there are seven separate variables for his nose shape, and Vito Corleone voiced by Marlon Brando in his acting swansong, The Godfather is a very big budget clone of the currently inescapable Grand Theft Auto series.

Entering the grades as four separate variables has the downside of complicating the model; however, these models more accurately portray the differences in participation between each of the course grades.

Since each weighted linear regression was performed with seven separate variables, we considered a p value of 0.01 significant in this explorative study.

First, I conducted a principal component analysis to reduce colinearity among four separate variables comprising human resources and extracted components with eigenvalues greater than 1.0.