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(2) Use the nonparametric methods to reduce the reliance of statistical inference on the specific form of the models.
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In this situation it would be of interest to use the nonparametric method in which the only assumption is the continuous distribution of ({text{EDI}}^{j}).
Due to the small number of samples and observations in this user study, we used the nonparametric methods for the statistical analysis.
We used the nonparametric method because EEG data are different for each patient.
Some articles used the nonparametric method to estimate the reliability function of the mechanism under extreme impact [8, 9], and Jiang analyzed the application of the proportional risk function in a repairable system [10].
We generated a 1-km2 prediction (map) using the nonparametric method 'Random Forests', developed to address statistical issues related to over-fit and parameter sensitivity in CART (Classification and Regression Trees) models ([26], [27], [28]).
The sample size was estimated using the nonparametric method developed by Noether [ 31].
Frequency domain analysis of PPI was performed using the nonparametric method of fast Fourier transform (FFT).
The difference between ROC curves using different loci was tested using the nonparametric method established by Venkatraman and Begg (33).
Thirdly, when missing diagnosis dates exist, the estimated curve using the nonparametric method cannot converge with the final status curve.
AUCs for these correlated ROC curves were compared using the nonparametric method of DeLong and colleagues [ 41].
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