The drivers of variances of components are further investigated to ensure the redesigned parts meet the requirements of specialized niches in the segment markets.
Third, using a joint model of big data adoption and of returns on adoption, we try to explain key drivers of this variance in big data performance.
In the PC2 dimension, the main drivers of the variance (Figure 4c) are the peak at 1.5 ppm and the oxygenated region at 2.4-3.2 2.4-3.2sus the aromatic region at 7–8 ppm and the aliphatic region at 0.5-1.2 ppm.
The derivation of a robust model capable of identifying the drivers of individual variances should be the objective of further research.
Sixty drivers participated in a simulator study and analysis of variance models were used to assess response effects of the controlled manipulations.
Inclusion of these variables or other potential drivers of treatment satisfaction may have increased the amount of variance in predicting treatment satisfaction in this study.
Finally, Table 6 reports the result for the analysis of variance for a linear model relating the four descriptors depending on gender of the driver, driver identity, his/her driving experience (as multiples of 5 years), the road condition (dry of wet), and the co-driver Continuous Support function status (on or off).
Analysis of variance (ANOVA) with repeated measures was used for statistical tests because the same drivers participated in all experiments.
Among individual terrestrial ecosystem drivers, the temperature-driven NEE model was positively correlated with the observed CO2 patterns and explained the largest amount of variance across different latitude bands with an average R of 0.46.
Computational approaches, like those available in the Cancer Related Analysis of VAriance Toolkit (CRAVAT) [Douville et al., 2013], have proven useful in separating likely driver variants from passenger.
