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We focus here on the total effect when residual correlation is assumed to be 0.5.
Spatial correlation is assumed equal to r ( t 1, t 2 ) = 0. 5 t 1 - t 2, being t1 and t2 the antenna indexes, sorted in ascending order from a border of the linear array.
The method is then used to investigate the effect of subsequent strokes on the line flashover rate, leading to the conclusion that their contribution is negligible, as long as no correlation is assumed between front-time and peak value of the strokes (first and subsequent).
Finally, a linear correlation is assumed between the expected relative abundance of a vector and its relative probability of presence as predicted by its niche model.
Here, for simplicity, no such spatial correlation is assumed.
Common correlation is assumed for any two measurements of the dependent variable recorded from the same subject.
Similar(52)
Correlation was assumed to have a linear relationship as described by Eq. 1.
Two sets of transport simulations were conducted: one in which a perfect positive correlation was assumed between ln(K) and ln k), and one in which a perfect negative correlation was assumed.
A correlation was assumed when the correlation coefficient was >0.3.
Correlation was assumed to occur when the absolute Spearman rank correlation coefficients were >0.50.
The correlation was assumed to be significant at R > 0.7 (p = 0.05).
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