Sentence examples for maximum variability and from inspiring English sources

The X-axis represents components that have maximum variability and y-axis represents components having second highest variability.

We visualized the data to identify the IMU and axis with maximum variability and utilized these data for analysis.

The new axes represent the directions with maximum variability and are ordered in terms of the amount of variation of the original data they account for.

Similarly, other principles from primary qualitative research methods may also be 'borrowed' such as deliberately seeking studies which might act as negative cases, aiming for maximum variability and, in essence, designing the resulting set of studies to be heterogeneous, in some ways, instead of achieving the homogeneity that is often the aim in statistical meta-analyses.

The results emphasize that, by varying the OMI values (Loss OMI− and Loss OMI+), Rovigo Province records a maximum variability (± 14%) and, conversely, a minimum value is recorded for Bologna Province (± 9%).

The maximum variability in D and λ amongst different EGF treatments is approximately 82 % and 37%%, respectively.

Instead of using dynamic optimizations to estimate the system's maximum variability, process stability and process constraints, this methodology applies a robust control approach to calculate bounds on these conditions.

In this study, the maximum variability between capillary and venous PCV pairs was 5%.

Three conditions must be met in order to maximize use of Otsu's method: a) minimum variability in grey levels of foreground objects, b) minimum variability in background grey levels, c) maximum variability between background and foreground objects grey levels.

Depending on the number of input variables, it creates principal components (PC's) representing the maximum variability in information data and its variance in descending order (PC1, PC2, PC3, etc).. Usually, the first two components (PC1 and PC2) are found to be the best means to carry out the classification of input variables.

Snowball and maximum variability sampling techniques were used, the former of which is a practical means of building a respondent base, and the latter of which aims for heterogeneity in the sample.