Sentence examples for by the kernel density from inspiring English sources

This is demonstrated by the Kernel density function map (see Fig. 2).

The shapes of the final probability density functions given by the kernel density estimators show varying characteristics.

The first hitting time, i.e., a guaranteed period of an up-state with respect both to given operating conditions and critical threshold, is assessed by non-parametric methods, namely by the kernel density estimation.

The DNA microarray gave a greater number (2,351) of significant genes relative to RNA-seq (280 genes when normalized by the kernel density mean of M component (KDMM) method) in an analysis of variance (ANOVA) testing method with a 5% false discovery rate (FDR).

Empirical distributions of the null hypothesis were then estimated by performing random permutations of samples and then by performing the kernel density estimation (20) to T values and log2-median-ratios resulted from the random permutations.

Figure 6 extends the expenditure analysis by plotting the kernel density estimates of urban and rural households for food consumption.8The figure plots the estimated density function of food consumption per adult equivalent for urban and rural households.

Results: The present method begins by performing the kernel density estimation in order to convert each 3D image into a smooth, continuous function.

HBV laboratory screening practices were examined descriptively by plotting the kernel density function of the distribution of time between each treatment episode's index date and any HBV-related laboratory test.

The average distance between clusters, indicated by the main peak value of the kernel density estimator (blue line), is 55 nm.

Compared to our first investigation based on the three component maps [ 31], we estimated here the variability of the kernel density estimator, by sampling randomly 70% of the total number of markers for each chromosome independently, 999 times without replacement [ 77, 78].

The kernel density estimator is given by the following expression hat{f}_{h}(x)=frac{1}{n}sumlimits_{i=1} x-x_{i}} x-x_{i})=frac{1}{nh}sumlimits_{i=1}^{n}Klefrac{x-x_{i}{i}}{h}right), (32) Fig. 9 Gaussian kernel density estimation for: (a) stress among women in Townsville, Queensland, Australia (b) proportion of crude oil converted to gasoline after distillation and fractionation.