When a dataset from a non-negative random variable contains zero or very small observations, the folded-normal distribution (FND) can be an appropriate model for fitting the data. Such data includes ...

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

Normality of the data was tested by the Kolmogorov–Smirnov test, probability plots and distributional plots. Residual analysis was carried out to detect outliers. Comparison between aspirin and ...

Kernel Density Plot Tool This is a Python implementation of the Kernel Plot Tool that generates SNP density and closest neighbor plots from FASTA files.

The normality of residuals was examined by visual inspection of the histograms and using normal probability plots (p–p plots). The homogeneity of variance of residuals was examined by plotting the ...

Through the analysis of variance on the experimental data, a graph showing the relationship between residuals and normal probability was obtained. From Figure 4 a,b, the normal probability plots of ...

In Figure 3A, the normal probability graph of residuals showed that the residuals lie approximately along a straight line for tensile strength. This close alignment of residual points suggests normal ...

The Supreme Court on Friday sided with federal prosecutors who moved to tack extra prison time onto the sentence of a Genovese crime family associate known in New York as “Fat Sal” who was ...

Abstract: Capability analysis seeks to estimate the probability that a process will produce compliant products. The capability indices are dimensionless parameters that measure how well the process ...