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This paper deals with the design problem for recovering a response surface by using a nonparametric Bayesian approach.
By using a nonparametric model of the control loop, that can be easily identified on-line, various tracking problems can be cast into a unified, and easily interpreted optimisation framework.
It was designed by using a nonparametric Bayesian approach.
Comparison of areas under the ROC curve was performed by using a nonparametric paired technique, as described previously [22].
AUCs between two pairs of potential predictors were compared by using a nonparametric test [ 21].
Differences in volumes were tested for significance by using a nonparametric Wilcoxon Mann-Whitney test.
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Segregating serum samples by gender and by decade of life enabled statistical comparison of gender values by decade using a nonparametric Mann Whitney test.
To assess interlaboratory variation, we compared differences between hHI and neutralization GMTs for 07/150 by different laboratories by using a paired nonparametric Wilcoxon signed-rank test for each antigen separately.
We also compared differences among overall (for all laboratories) mean GMT for all serum samples by using a paired nonparametric Wilcoxon signed-rank test for each antigen separately; e.g., for NIBRG-14, the difference between the overall mean GMT for hHI and neutralization was calculated for each sample, and these differences were compared with zero.
Correlation coefficients were determined by rank correlation using a nonparametric Spearman test.
We estimated a 95% confidence interval for the species survival by bootstrapping across populations using a nonparametric bootstrapping method in the boot package (Canty and Ripley 2014) in R (R Development Core Team, 2012).
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