Sentence examples for strength of effects from inspiring English sources

It indicates the relative strength of effects of various factors.

The experiments created using the methodology allow to identify the strength of effects and interactions of different design factors on selected performance indicators.

A priori, the intent of the analysis was to indicate the overall direction of current evidence for each of the prognostic factors in a qualitative manner with no report on quantitative strength of effects.

In this issue, using back-propagation neural network (BPNN) enables us to compute an index called Relative Strength of Effects (RSE) that determines influence of each input data on the corresponding output.

In addition, this study introduces a concept of relative strength of effects (RSE) [Yang Y, Zhang Q. A heirarchical analysis for rock engineering using artificial neural networks. Rock Mechanics and Rock Engineering 1997; 30(4): 207–22] in sensitivity analysis for various major factors affecting the surface settlement in tunnelling.

Analysis of Variance (ANOVA) was used to quantify strength of effects and interactions of binary variables.

A brief introduction to GIS and artificial neural networks is presented, paying particular attention to the GIS 'overlay ' operation and the concept of 'relative strength of effect'.

We then estimated the strength of effect of treatment on student learning by calculating Cohen's d from the average change in test scores across treatments [ average change in scoremodule − average change in scorecontrol)/pooled SD of change in scoreall courses].

Also the strength of effect of income poverty on child health status was reduced (β = .12); a.08 decrease in strength of association (about a 40 percentage-point decrease).

This does not rule out the possibility that the strength of effect might differ for dot subsets having more or less than two dots.

Heterogeneity is also present in terms of the strength of effect found at any given locus in the three STRUCTURE groups, where both INRA111 and BMS2753 show strong associations in one group but substantially weaker trends in the other two.