Residuals increased with distance between our stations and estimate points.
Graphs of residuals versus predicted values, differences in elevation and distances between our stations and NIWA estimate points were prepared. .
There was a tendency for both VCSN and NIWA station estimates to be biased with respect to individual stations, and as expected, this bias was often related to distance between our stations and the estimate points.
The same was not true for the other measured pollutant, including dioxins and hydrochloric acid, with no clear relation between the estimated points of minimum and maximum fallout and the actual concentrations.
Open image in new window Fig. 4 Layout of M i, i = 1, 2, or 3, C, and D in relation to P, Q, and their distance to A. The distances between the 5 estimated points and A are noted on each line [24] Open image in new window Fig. 5 Score function s A, rank function r A, and RSC function f A of the scoring system A [13, 14].
Due to limited sample size, neonatal mortality was calculated for the last ten years preceding the survey, resulting in sample overlaps between estimates for different points in time.
The process estimates point values between sampled locations in a grid using an inverse distance weighing of nearby sample points and allowing for variance of each sample (Isaaks and Srivastava 1989).
To evaluate the performance of the models, we compute the root mean square error distance (RMSE) between the estimated center point of every part and its manually labeled counterpart.
If the distance between the estimated vanishing point and the actual one is R, then the maximum error of ρ is R. Our analysis of the experiments yields the following recommendations.
Studies showed that there was a distinct negative relation between students' estimated grade-point average and the tendency to engage in cheating behavior [ 13, 22].
