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For speed considerations, we estimate kernel density over 300 equally spaced points within the interval [ max (− 5, min (x ) ), min (5, max (x ) ) ].
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Instead of solving this difficult optimization problem, Gönen et al. estimated kernel weights by using the gating function.
Subpopulations were formed by decreasing order of the kernel densities, starting with the largest estimated kernel density (by setting method = 6 at PROC MODECLUS).
The approach is based on the combination of robustness analysis, moment independent robustness indicator, and estimated kernel conditional densities.
The estimated kernel density for the values of the area under E R K∗ signal is shown in Fig. 12 a: it has a mean, a variance and a mode presented in Table 2.
Furthermore, the estimated kernels are shown in Figure 4.
The density of markers along LGs was estimated with kernel density estimation in R (R Core Team 2012).
The distribution of each CPR variable was estimated by kernel density estimation with a Gaussian kernel function and plotted by treatment arm.
First, the distributions of cross-validation prediction scores for negative and positive examples were estimated using kernel density estimation as implemented in R (R Development Core Team, 2008).
Based on the validation data, the authors use the Kaplan-Meier estimate and kernel estimate to repair the censored response variable Y and explanatory X with measurement error.
The middle parts of ten grains were measured with vernier calipers to estimate average kernel thickness (KT).
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