Exact(1)
We have organized our experiments alongside two main lines: first, we have investigated the effect of the team size centered on teams of moderated size in the order of 5 and 10 individuals, typical of multi-robot systems.
Similar(59)
In determining responsiveness, a moderated sample size (N = 45) was used, but no information was provided on how missing data were handled.
Following the pioneering work of "bringing the boss back in" by Stolzenberg (1978), a few scholars paid close attention to the "moderated-effect" of size on the relationship between individual or occupational characteristics and earnings attainment.
It can be further moderated by decreasing the size of the beads and by using a nano size Pd/Fe catalyst particles (Wang and Zhang, 1997).
The device is essentially an extension of the activator proposed by Rubbia [CERN/LHC/97-04 EET ] [CERN/LHC/97-04 EET ]ns are dinfused and moderated whichn a properly sized lead block.
This particular analysis could not be carried out in the present study, because, for the given sample size, the power using moderated hierarchical regression analysis would have been too low [ 30] and because there were so few patients with low expectations that the moderated test would have been somewhat biased.
This is what the Bronx looked like in the early 1970s: a battleground filled with gangs of all shapes and sizes in a vaguely moderated state of anarchy, turf wars fueled by the economic failure of shoddy urban planning in a city verging on bankruptcy.
However, the p-values assigned by the different statistical models varied considerably, due at least in part to the small sample size and the use of moderated (Limma empirical Bayesian) versus unmoderated (t-test) approaches to estimating variance.
Based on a moderated and conservative correlation (r = 0.4, effect size) and using α = 0.05, β = 0.20, and power = 80%, approximately 37 subjects were needed for this study [ 23].
Tests of significance were conducted using empirical Bayes moderated t-tests which ensure stable inference even with small sample size [46].
Placing a penalty on the size of coefficients in the multiple regression leads to moderated estimates of coefficient effects, allowing their stable estimation even when many predictors are in the model.
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