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Kernel density estimation of 100 normally distributed random numbers using different smoothing bandwidths.. In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.
The goal of density estimation is to take a finite sample of data and to make inferences about the underlying probability density function everywhere, including where no data are observed. In kernel density estimation, the contribution of each data point is smoothed out from a single point into a region of space surrounding it.
The Doxygen tool is used to do the actual documentation extraction and formatting, but this framework provides a wrapper script to make generating the documentation more convenient (including reading settings from the target framework or other module) and a standard template for the generated documentation. KArchive 1 karchive.git
Centered on each sample, a Gaussian kernel is drawn in gray. Averaging the Gaussians yields the density estimate shown in the dashed black curve. In statistics , probability density estimation or simply density estimation is the construction of an estimate , based on observed data , of an unobservable underlying probability density function .
all general documentation; references, manual, organigrams, ... Including the binary codes included in the comments. all coded comments MkDocs: Natural Docs: NDoc: perldoc: Extend the generator classes through Perl programming. Only linking pdoc: overridable Jinja2 templates source code syntax highlighting, automatic cross-linking to symbol ...
In 2008, developers of LabPlot and SciDAVis (another Origin clone, forked from QtiPlot) "found their project goals to be very similar" and decided to merge their code into a common backend while maintaining two frontends: LabPlot, integrated with the KDE desktop environment (DE); and SciDAVis, written in DE-independent Qt with fewer dependencies for easier cross-platform use.
Mscgen (short for MSC generator) is a software tool for drawing message sequence charts [1] from a simple to manage text-based source file. Rendered charts can be output in PNG, SVG and PostScript, with hyperlink information in ismap format.
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