Sentence examples for statistical influences from inspiring English sources

The developed models show that wt% of Dr particles has significantly statistical influences on both tensile strength (P = 0.00827) and strain (P = 0.01756).

The rationale for this approach is that different algae have different N preferences and that the effects of N and P are so important that without their initial optimisation, the statistical influences of the other elements on algae growth will be masked.

Baffles and the interaction between length and baffles also had significant statistical influence on the hydraulic efficiency.

Moderate to low aeration (0.2 m3 air kg−1 d−1) would be the best compromise to composting this residue, due to the scarce statistical influence of this independent variable.

The aluminum foils doubled the thermal conductivity, achieving values of 0.63 W/mK, without significant statistical influence of the metallic configuration inside this material.

The design of experiments and analysis of variance (ANOVA) techniques of Taguchi, were utilized to study the statistical influence of the drilling parameters on the extension of delamination.

The results also indicated that weld speed could be the main input parameter that had the highest statistical influence on mechanical properties.

Additionally, the effect of aging (up to 6 weeks) in ambient conditions of laser ablated aluminum on adhesive bonding performance appeared to have no statistical influence.

Cutting speed exhibits the highest physical as well as statistical influence on the tool flank wear (81.93%) followed by feed (15.23%), whilst the depth of cut has a less effect (1.81%).

This is not surprising, as the areas with the most participants must have the greatest statistical influence on the distribution as a whole, and the distribution is more likely to fluctuate in areas where the numbers are smaller.

The partial rank correlation coefficient (PRCC), measuring the statistical influence (specifically the monotonicity) of parameters on (R_{s}), is calculated between each of input parameters and the values of (R_{s}).